Mathematics and Computer Studies

Please Note:

Prospective job candidates are URGED to check with the respective department, dean, or payroll office for a more detailed description of qualifications. DO NOT apply for jobs via CUPE 3912, but directly with the contact person for each job posting. Some departments may accept applications online; others might not. It is our recommendation that you include a COMPLETE CV with every application, even if it is not requested.

The Department of Mathematics & Computing Science is seeking to staff the following course and computer lab for the Spring semester, 2019: May 6 – June 21, 2019.

CSCI1226.1 MW 09:30am – 12:29pm
CSCI1226.1L MW 01:30pm – 04:29pm

The course and computer lab are offered as a unit: preference will be given to instructors willing to teach both the lecture and lab. The successful candidate will be required to hold office hours, and will invigilate and mark the midterm and final examinations.

The stipend* for the CSCI1226.1 lecture is $4572.00 – $5783.00 (depending on experience at Saint Mary’s). The stipend* for the CSCI1226.1L computer lab is $2286.00 – $2891.50 (depending on experience at Saint Mary’s).

*The stipend is subject to the current collective agreement between CUPE and Saint Mary’s University

If you have never taught at Saint Mary’s,
Send:
-An up-to-date Curriculum Vitae
-University transcripts and Proof of Degrees
(e.g. photocopies of certificates)
AND
Have sent:
-Two (2) letters of reference.

Applications should be received no later than March 25, 2019

Department of Mathematics and Computing Science

PART-TIME POSITIONS
SPRING TERM 2019
CSCI1228.1 & Computer Lab.

The Department of Mathematics & Computing Science is seeking to staff the following course and computer lab for the Spring session, 2019: May 6 – June 21, 2019.

CSCI1228.1 TR 09:30am – 12:29pm
CSCI1228.1L TR 01:30pm – 04:29pm

The course and computer lab are offered as a unit: preference will be given to instructors willing to teach both the lecture and computer lab. The successful candidate will be required to hold office hours, and will invigilate and mark the midterm and final examinations.

The stipend* for the CSCI1228.1 lecture is $4572.00 – $5783.00 (depending on experience at Saint Mary’s). The stipend* for the CSCI1228.1L computer lab is $2286.00 – $2891.50 (depending on experience at Saint Mary’s).

*The stipend is subject to the current collective agreement between CUPE and Saint Mary’s University

If you have never taught at Saint Mary’s,
Send:
-An up-to-date Curriculum Vitae
-University transcripts and Proof of Degrees
(e.g. photocopies of certificates)
AND
Have sent:
-Two (2) letters of reference.

The Department of Mathematics & Computing Science is seeking to staff the following course and recitation for the spring semester, 2019: May 6 – June 21, 2019.

CSCI2327.1 MW 9:30am – 12:29pm
CSCI2327.1R MW 1:30pm – 2:45pm

The course and recitation are offered as a unit: preference will be given to instructors willing to teach both the course and the recitation. The candidate will be required to hold office hours, and will invigilate and mark the midterm and final examinations.

The stipend* for the CSCI2327.1 lecture is $4572.00 – $5783.00 (depending on experience at Saint Mary’s). The stipend* for the CSCI2327.1R recitation is $2286.00 – $2891.50 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Computing Science.

Successful experience teaching Computing Science at the
University level, and in the course area.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

If you have never taught at Saint Mary’s,
Send:
-An up-to-date Curriculum Vitae
-University transcripts and Proof of Degrees
(e.g. photocopies of certificates)
AND
Have sent:
-Two (2) letters of reference.

The Department of Mathematics & Computing Science is seeking to staff the following course and recitation for the Spring session, 2019: May 6 – June 21, 2019.

CSCI2341.1 TR 09:30am – 12:29pm
CSCI2341.1R TR 01:30pm – 02:45pm

The course and recitation are offered as a unit: preference will be given to instructors willing to teach both the course and the recitation. The candidate will be required to hold office hours, and will invigilate and mark the midterm and final examinations.

The stipend* for the CSCI2341.1 lecture is $4572.00 – $5783.00 (depending on experience at Saint Mary’s). The stipend* for the CSCI2341.1R recitation is $2286.00 – $2891.50 (depending on experience at Saint Mary’s).

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application to:
Part time positions at ptpositions@cs.smu.ca
Or Department of Mathematics & Computing Science
Saint Mary’s University
Halifax, Nova Scotia
B3H 3C3
*The stipend is subject to the current collective agreement between CUPE and Saint Mary’s University

If you have never taught at Saint Mary’s,
Send:
-An up-to-date Curriculum Vitae
-University transcripts and Proof of Degrees
(e.g. photocopies of certificates)
AND
Have sent:
-Two (2) letters of reference.

Applications should be received no later than March 25, 2019

————————————————–
Department/Faculty: Mathematics
Course Name: Intro to Statistics I
Course Code: MATH 2208 01
Academic Term: Summer Session I
Class Timetable: MTWThF 9:00-11:30 AM
Course Unit Value: 0.5 unit
—————————————————
Start Date: 5/6/2019
End Date: 5/29/2019
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level. In addition, experience
teaching a similar introductory statistics course to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams. This is a
coordinated course with a laboratory component. The laboratory components
are taught by the laboratory instructor. Instructors are required to
follow the course syllabus and guidelines for assignments, midterm and
final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.ca

Course Unit Value: 0.5 unit
—————————————————
Start Date: 5/6/2019
End Date: 5/29/2019
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level. In addition, experience
teaching a similar introductory statistics course to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams. This is a
coordinated course with a laboratory component. The laboratory components
are taught by the laboratory instructor. Instructors are required to
follow the course syllabus and guidelines for assignments, midterm and
final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.ca

Course Unit Value: 0.5 unit
—————————————————
Start Date: 5/6/2019
End Date: 5/29/2019
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level. In addition, experience
teaching a similar introductory statistics course to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams. This is a
coordinated course with a laboratory component. The laboratory components
are taught by the laboratory instructor. Instructors are required to
follow the course syllabus and guidelines for assignments, midterm and
final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.ca

—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level. In addition, experience
teaching a similar introductory statistics course to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams. This is a
coordinated course with a laboratory component. The laboratory components
are taught by the laboratory instructor. Instructors are required to
follow the course syllabus and guidelines for assignments, midterm and
final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.ca

Academic Term: Summer Session I
Class Timetable: MTWThF 9:00 – 11:30 AM
Course Unit Value: 0.5 unit
—————————————————
Start Date: 5/30/2019
End Date: 6/21/2019
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level. In addition, experience
teaching a similar introductory statistics course to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams. This is a
coordinated course with a laboratory component. The laboratory components
are taught by the laboratory instructor. Instructors are required to
follow the course syllabus and guidelines for assignments, midterm and
final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.ca

Academic Term: Summer Session I
Class Timetable: MTWThF 1:00 – 3:30 PM
Course Unit Value: 0.5 unit
—————————————————
Start Date: 5/30/2019
End Date: 6/21/2019
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level. In addition, experience
teaching a similar introductory statistics course to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams. This is a
coordinated course with a laboratory component. The laboratory components
are taught by the laboratory instructor. Instructors are required to
follow the course syllabus and guidelines for assignments, midterm and
final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.ca

Application deadline: 3/21/2019
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: LAB – Intro to Statistics I
Course Code: MATH 208L LA
Academic Term: Summer Session I
Class Timetable: MTWThF 11:30 AM- 12:45 PM
Course Unit Value: 0.125 unit
—————————————————
Start Date: 5/6/2019
End Date: 5/29/2019
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors.
Candidates must be sensitive to the needs of the mature learner.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 5/6/2019
End Date: 5/29/2019
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors.
Candidates must be sensitive to the needs of the mature learner.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 5/6/2019
End Date: 5/29/2019
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors.
Candidates must be sensitive to the needs of the mature learner.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.ca

Application deadline: 3/21/2019
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: LAB – Intro to Statistics II
Course Code: MATH 209L LA
Academic Term: Summer Session I
Class Timetable: MTWThF 11:30 AM – 12:45 PM
Course Unit Value: 0.125 unit
—————————————————
Start Date: 5/30/2019
End Date: 6/21/2019
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors.
Candidates must be sensitive to the needs of the mature learner.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: Tina.Harriott@msvu.camsvumath

Course Unit Value: 0.125 unit
—————————————————
Start Date: 5/30/2019
End Date: 6/21/2019
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors.
Candidates must be sensitive to the needs of the mature learner.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.ca

In addition, the successful candidate should have prior experience
teaching remedial or introductory mathematics to students who may find the
subject difficult.

Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.

Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.ca

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness. Due to distance, the
mailing of materials may extend beyond the traditional time frames.

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 5/6/2019
End Date: 6/21/2019
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors is required.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness. Due to distance, the
mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 5/6/2019
End Date: 6/21/2019
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors is required.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness. Due to distance, the
mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.ca

In addition, experience teaching a similar introductory statistics course
to non-science majors.

In addition, experience with using MINITAB for data analysis is required.
Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams on campus.
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor. Instructors are
required to follow the course syllabus and guidelines for assignments,
midterm and final exams, and grades.
Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.ca

Course Unit Value: 0.5 unit
—————————————————
Start Date: 5/6/2019
End Date: 6/21/2019
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level.

In addition, experience teaching a similar introductory statistics course
to non-science majors.

In addition, experience with using MINITAB for data analysis is required.
Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams on campus.
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor. Instructors are
required to follow the course syllabus and guidelines for assignments,
midterm and final exams, and grades.
Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.ca

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness. Due to distance, the
mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 7/2/2019
End Date: 8/16/2019
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors is required.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness. Due to distance, the
mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 7/2/2019
End Date: 8/16/2019
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors is required.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness. Due to distance, the
mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.ca

Application deadline: 4/1/2019
—————————————————

Part‑Time Academic Postings ‑ Mathematics and Statistics
Posted by Mathematics and Statistics on March 5, 2019 in Job Postings
DEPARTMENT: Mathematics and Statistics

Please see the academic timetable ( www.dal.ca/timetable ) for the days, times & location(s) of each course.

Course #

Course Name

Term

Contract dates:

STAT1060.03 (02)

Introductory Statistics for Science and Health Sciences

Summer (A)

May 1 to June 30

STAT2060.03

Introduction to Probability and Statistics

Summer (B)

July 1 to August 31

STAT2080.03

Statistical Methods for Data Analysis and Inference

Summer (B)

July 1 to August 31

MATH1010.03

Differential & Integral Calculus II

Summer (B)

July 1 to August 31

MATH1030.03

Matrix Theory & Linear Algebra I

Summer (A)

May 1 to June 30

MATH1115.03

Mathematics for Commerce

Summer (A)

May 1 to June 30

MATH1290.03

Engineering Math II

Summer (B)

July 1 to August 31

MATH2001.03

Intermediate Calculus I

Summer (A)

May 1 to June 30

MATH2002.03

Intermediate Calculus II

Summer (B)

July 1 to August 31

MATH2040.03

Matrix Theory & Linear Algebra II

Summer (B)

July 1 to August 31

MATH2112.03

Discrete Structures 1

Summer (2)

May 1 to July 31

MATH2120.03

Methods for ODE

Summer (A)

May 1 to June 30

MATH3120.03

Differential Equations II

Summer (B)

July 1 to August 31

DEPARTMENT/LOCATION: Mathematics and Statistics, Halifax Campus

PAY RATE: In Accordance with CUPE Agreement Local 3912

WORK ASSIGNMENT: The topics to be covered in the course are available from the Department Chair. Course descriptions are provided in the Undergraduate Calendar published by the Registrar’s Office, Dalhousie University. The instructor is responsible for all aspects of teaching, grading and administration of the class. Additionally, the instructor is to be available for three hours per week outside class times for student consultation. The instructor reports to the Chair.

REQUIREMENTS OF THE POSITION: The candidate must possess an appropriate Ph.D., be registered in an appropriate Ph.D. program, or possess a combination of M.Sc. degree in Mathematics or Statistics and previous teaching experience.

IF YOU ARE INTERESTED IN ANY OF THE ABOVE POSITIONS, PLEASE APPLY IN WRITING CLEARLY INDICATING THE COURSE AND TERM BY THE APPLICATION DEADLINE TO:

Ellen Lynch, Support Secretary

Department of Mathematics and Statistics

Chase Building, Room 219

e-mail: ellen.lynch@dal.ca

All offers of employment as a Part-Time Academic are conditional upon sufficient student enrolment in the course and approval by the University. Dalhousie University is committed to fostering a collegial culture grounded in diversity and inclusiveness. The university encourages applications from Aboriginal people, persons with a disability, racially visible persons, women, persons of minority sexual orientations and gender identities, and all qualified candidates who would contribute to the diversity of our community.

The Department of Mathematics & Computing Science is seeking to staff the following courses for the Spring session, 2019: May 6 – June 21, 2019.

MATH1202.1 MW 5:30pm – 7:59pm
MATH1202.1R MW 8:00pm – 9:29pm

Preference will be given to instructors with K12 classroom teaching experience.

The course and recitation are offered as a unit: preference will be given to instructors willing to teach the Recitation as well as the course. The candidate will be required to hold office hours, and will invigilate and mark midterm and final examinations.

The stipend* for MATH1202.1 is $4572.00 – $5783.00 (depending on experience at Saint Mary’s). The stipend* for the MATH1202.1 recitation are $2286.00 – $2891.50 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Mathematics or Mathematics Education
Successful experience teaching a similar course at the University level.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University

If you have never taught at Saint Mary’s,
Send:
-An up-to-date Curriculum Vitae
-University transcripts and Proof of Degrees
(e.g. photocopies of certificates)
AND
Have sent:
-Two (2) letters of reference.

The course and recitation A are offered as a unit: preference will be given to instructors willing to teach Recitation A as well. The candidate will be required to hold office hours, and will invigilate and mark midterm and final examinations.

The stipend* for MATH1210.1 is $4572.00 – $5783.00 (depending on experience at Saint Mary’s). The stipend* for the MATH1210.1 Recitations are $2286.00 – $2891.50 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Mathematics or Mathematics Education
Successful experience teaching a similar course at the University level.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

The Department of Mathematics & Computing Science is seeking to staff the following courses for the Spring session, 2019: May 6 – June 21, 2019.

MATH1211.1WA TR 4:30pm – 7:15pm
MATH1211.1WR TR 7:30pm – 8:45pm

The course and recitation A are offered as a unit: preference will be given to instructors willing to teach Recitation A as well. The candidate will be required to hold office hours, and will invigilate and mark midterm and final examinations.

The stipend* for MATH1211.1WA is $4572.00 – $5783.00 (depending on experience at Saint Mary’s). The stipend* for the MATH1211.WR Recitations are $2286.00 – $2891.50 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Mathematics or Mathematics Education
Successful experience teaching Calculus or Pre-Calculus at the University level.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University

If you have never taught at Saint Mary’s,
Send:
-An up-to-date Curriculum Vitae
-University transcripts and Proof of Degrees
(e.g. photocopies of certificates)
AND
Have sent:
-Two (2) letters of reference.

The course and recitation are offered as a unit: preference will be given to instructors willing to teach the Recitation as well as the course. The candidate will be required to hold office hours, and will invigilate and mark midterm and final examinations.

The stipend* for MATH2301.1 is $4572.00 – $5783.00 (depending on experience at Saint Mary’s). The stipend* for the MATH2301.1 Recitation is $2286.00 – $2891.50 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

PHD required.
Successful experience teaching Linear Algebra at the University level would be an asset.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University

If you have never taught at Saint Mary’s,
Send:
-An up-to-date Curriculum Vitae
-University transcripts and Proof of Degrees
(e.g. photocopies of certificates)
AND
Have sent:
-Two (2) letters of reference.

The course and recitation are offered as a unit: preference will be given to instructors willing to teach the Recitation as well as the course. The candidate will be required to hold office hours, and will invigilate and mark midterm and final examinations.

The stipend* for MATH2311.1 is $4572.00 – $5783.00 (depending on experience at Saint Mary’s). The stipend* for the MATH2311.1 Recitation is $2286.00 – $2891.50 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Ph.D. required for Lecture, MSc in Math oriented subject for Recitation.
Successful experience teaching Intermediate Calculus at the University level.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University

If you have never taught at Saint Mary’s,
Send:
-An up-to-date Curriculum Vitae
-University transcripts and Proof of Degrees
(e.g. photocopies of certificates)
AND
Have sent:
-Two (2) letters of reference.

Please see the academic timetable (https://dalonline.dal.ca/PROD/fysktime.P_DisplaySchedule)
for the days, times & location(s) of each course.

Course #

Course Name

Term

Dates

MATH1115.03

Mathematics for Commerce

Winter

Jan 1 – April 30, 2019

MATH2600.03

Theory of Interest

Winter

Jan 1 – April 30, 2019

STAT2060.03

Introduction to Probability and Statistics

Winter

Jan 1 – April 30, 2019

DEPARTMENT/LOCATION: Mathematics and Statistics, Halifax Campus

PAY RATE: In Accordance with CUPE Agreement Local 3912

WORK ASSIGNMENT: The topics to be covered in the course are available from the Department Chair. Course descriptions are provided in the Undergraduate Calendar published by the Registrar’s Office, Dalhousie University. The instructor is responsible for all aspects of teaching, grading and administration of the class. Additionally, the instructor is to be available for three hours per week outside class times for student consultation. The instructor reports to the Chair.

REQUIREMENTS OF THE POSITION: The candidate must possess an appropriate Ph.D., be registered in an appropriate Ph.D. program, or possess a combination of M.Sc. degree in Mathematics or Statistics and previous teaching experience.

IF YOU ARE INTERESTED IN ANY OF THE ABOVE POSITIONS, PLEASE APPLY IN WRITING CLEARLY INDICATING THE COURSE AND TERM BY THE APPLICATION DEADLINE TO:

Ann Bannon, Administrator

Department of Mathematics and Statistics

Chase Building, Room 219

e-mail: ann.bannon@dal.ca

All offers of employment as a Part-Time Academic are conditional upon sufficient student enrolment in the course and approval by the University. Dalhousie University is committed to fostering a collegial culture grounded in diversity and inclusiveness. The university encourages applications from Aboriginal people, persons with a disability, racially visible persons, women, persons of minority sexual orientations and gender identities, and all qualified candidates who would contribute to the diversity of our community.

Saint Mary’s University
Department of Mathematics and Computing Science

The Department of Mathematics & Computing Science is seeking to staff the following courses for the Winter session, 2019.

CSCI1228.2 MW 11:30am – 12:45pm
CSCI1228.2LB MW 10:00am – 11:15am

The course and Lab B are offered as a unit: preference will be given to instructors willing to teach Lab B as well. The successful candidate will be required to hold office hours, and will invigilate and mark midterm and final examinations.

The stipend* for the CSCI1228.2 lecture is $4572.00 – $5783.00 (depending on experience at Saint Mary’s). The stipend for the CSCI1228.2 Lab is $2286.00 – $2891.50 (depending on experience at Saint Mary’s).

If you have never taught at Saint Mary’s,
Send:
-An up-to-date Curriculum Vitae
-University transcripts and Proof of Degrees
(e.g. photocopies of certificates)
AND
Have sent:
-Two (2) letters of reference.

*The stipend is subject to the current collective agreement between CUPE and Saint Mary’s University
Applications should be received no later than November 12, 2018

The Department of Mathematics & Computing Science is seeking to staff the following course for the winter semester, 2019:

CSCI4834.2 TR 5:30pm – 7:00pm

The successful candidate will be required to hold office hours, and will invigilate and mark midterm and final examinations.

The stipend* for CSCI14834.2 is $4572.00 – $5783.00 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Computing Science.
Successful experience teaching Computing Science at the
University level, and in the course area.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application to:
Part time positions at ptpositions@cs.smu.ca
OR Department of Mathematics & Computing Science
Saint Mary’s University
Halifax, Nova Scotia
B3H 3C3
*The stipend is subject to the current collective agreement between CUPE and Saint Mary’s University

If you have never taught at Saint Mary’s,
Send:
-An up-to-date Curriculum Vitae
-University transcripts and Proof of Degrees
(e.g. photocopies of certificates)
AND
Have sent:
-Two (2) letters of reference.

The course and Rec. A are offered as a unit: preference will be given to instructors willing to teach Lab A as well. The successful candidate will be required to hold office hours, and will invigilate and mark midterm and final examinations.

The stipend* for MATH1203.2 is $4572.00 – $5783.00 (depending on experience at Saint Mary’s). The stipend* for this MATH1203.2 Labs is $2286.00 – $2891.50 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Mathematics or Mathematics Education
Successful experience teaching Mathematics at the University Level. Preference will
be given to instructors with teaching experience in the secondary school system.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

*The stipend is subject to the current collective agreement between CUPE and Saint Mary’s University

If you have never taught at Saint Mary’s,
Send:
-An up-to-date Curriculum Vitae
-University transcripts and Proof of Degrees
(e.g. photocopies of certificates)
AND
Have sent:
-Two (2) letters of reference.

*The stipend is subject to the current collective agreement between CUPE and Saint Mary’s University

If you have never taught at Saint Mary’s,
Send:
-An up-to-date Curriculum Vitae
-University transcripts and Proof of Degrees
(e.g. photocopies of certificates)
AND
Have sent:
-Two (2) letters of reference.

*The stipend is subject to the current collective agreement between CUPE and Saint Mary’s University

If you have never taught at Saint Mary’s,
Send:
-An up-to-date Curriculum Vitae
-University transcripts and Proof of Degrees
(e.g. photocopies of certificates)
AND
Have sent:
-Two (2) letters of reference.

*The stipend is subject to the current collective agreement between CUPE and Saint Mary’s University

If you have never taught at Saint Mary’s,
Send:
-An up-to-date Curriculum Vitae
-University transcripts and Proof of Degrees
(e.g. photocopies of certificates)
AND
Have sent:
-Two (2) letters of reference.

*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University

If you have never taught at Saint Mary’s,
Send:
-An up-to-date Curriculum Vitae
-University transcripts and Proof of Degrees
(e.g. photocopies of certificates)
AND
Have sent:
-Two (2) letters of reference.

Applications should be received no later than November 12, 2018

Department of Mathematics and Computing Science

PART-TIME POSITIONS
WINTER TERM 2019
MATH1251.2 (Recitations)

The Department of Mathematics & Computing Science is seeking to staff the following courses for the winter semester, 2019.

*The stipend is subject to the current collective agreement between CUPE and Saint Mary’s University

If you have never taught at Saint Mary’s,
Send:
-An up-to-date Curriculum Vitae
-University transcripts and Proof of Degrees
(e.g. photocopies of certificates)
AND
Have sent:
-Two (2) letters of reference.

*The stipend is subject to the current collective agreement between CUPE and Saint Mary’s University

If you have never taught at Saint Mary’s,
Send:
-An up-to-date Curriculum Vitae
-University transcripts and Proof of Degrees
(e.g. photocopies of certificates)
AND
Have sent:
-Two (2) letters of reference.

Academic Calendar Description:
Students study the complete software development process in a business environment, including the system analysis, design, implementation, and testing of software systems. Students will work in teams to develop software systems for business applications using real world methodologies.

Qualifications:
– Minimum Master’s Degree
– Successful experience teaching Computing Science at the University level
– At least 10 years of software development experience using Java/J2EE and C#/.Net
– Complete familiarity with the latest object-oriented software development methodology
– Experience working within an Industry context

Duties:
Duties include course/lecture preparation/delivery; in-class teaching; preparation and evaluation of all student assessments. The successful candidate will be required to hold office hours and collaborate with M.Sc. CDA faculty and industry professors.

Remuneration:
Remuneration is in accordance with the Collective Agreement between Saint Mary’s University and CUPE 3912

How to Apply:
Applications are invited in the first instance from part-time faculty colleagues on the Saint Mary’s precedence list. Applicants who currently hold a part-time teaching appointment at Saint Mary’s University should submit a cover letter and a C.V. Applicants who do not currently hold a part-time teaching appointment at Saint Mary’s University should submit a complete application (including a cover letter, CV, proof of academic credentials, name and contact information of three referees, and any evidence of teaching effectiveness).

Submissions are made as a single PDF file sent directly via email to: msc.cda@smu.ca

Application deadline: October 04, 2018

Saint Mary’s University hires on the basis of merit and is committed to the principles of employment equity. Saint Mary’s University encourages applications from qualified women, visible minorities, Aboriginal people, and people with disabilities. Preference will be given to Canadian citizens and permanent residents of Canada.

Academic Calendar Description:
Students study the complete software development process in a business environment, including the system analysis, design, implementation, and testing of software systems. Students will work in teams to develop software systems for business applications using real world methodologies.

Qualifications:
” Minimum Master’s Degree
” 5-10 years of experience in managing computing hardware and software, including general system administration, hardware and software acquisition, setting up servers, networks, web services, SQL server, NoSQL server such as Mongo DB, server side web programming services including PHP and node.js, creating and managing desktop images in a lab environment.
” Experience working within an Industry context

Duties:
Duties include course/lecture preparation/delivery; in-class teaching; preparation and evaluation of all student assessments. The successful candidate will be required to hold office hours and collaborate with M.Sc. CDA faculty and industry professors.

Remuneration:
Remuneration is in accordance with the Collective Agreement between Saint Mary’s University and CUPE 3912

How to Apply:
Applications are invited in the first instance from part-time faculty colleagues on the Saint Mary’s precedence list. Applicants who currently hold a part-time teaching appointment at Saint Mary’s University should submit a cover letter and a C.V. Applicants who do not currently hold a part-time teaching appointment at Saint Mary’s University should submit a complete application (including a cover letter, CV, proof of academic credentials, name and contact information of three referees, and any evidence of teaching effectiveness).

Submissions are made as a single PDF file sent directly via email to: msc.cda@smu.ca

Application deadline: September 30, 2018

Saint Mary’s University hires on the basis of merit and is committed to the principles of employment equity. Saint Mary’s University encourages applications from qualified women, visible minorities, Aboriginal people, and people with disabilities. Preference will be given to Canadian citizens and permanent residents of Canada.

In addition, experience teaching a similar introductory statistics course
to non-science majors.

In addition, experience with using MINITAB for data analysis is required.
Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams on campus.
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor. Instructors are
required to follow the course syllabus and guidelines for assignments,
midterm and final exams, and grades.
Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.ca

Application deadline: 10/3/2018
—————————————————

Part‑Time Academic Posting ‑ Mathematics and Statistics
Posted by Mathematics and Statistics on August 1, 2018 in Job Postings
DEPARTMENT: Mathematics and Statistics

FACULTY: Science

DALHOUSIE UNIVERSITY

Halifax, Nova Scotia, Canada B3H 3J5

POSTING DATE: July 31, 2018

APPLICATION DEADLINE: August 10, 2018

POSITION(S): We are searching for a part-time instructor to cover components of the courses PHAR 2010 Y and PHAR3010 X. The position will run in two terms, from September 2018 to June 2019 (late end date due to supplemental exams).

DEPARTMENT/LOCATION: College of Pharmacy & Department of Mathematics and Statistics, Halifax Campus

PAY RATE: In Accordance with CUPE Agreement Local 3912

WORK ASSIGNMENT: The course involves teaching one lecture hour a week, on average. The instructor is to be available for approximately one hour per week outside class times for student consultation. (There are no tutorials.) The instructor reports to the Chair of the Department of Mathematics and Statistics. These courses cover basic biostatistics for Pharmacy students. The topics are as follows:

In the fall term (Phar 3010X), the topics to be discussed include one and two way analysis of variance, testing of non-inferiority, superiority and equivalence hypotheses, meta-analysis, multiple linear regression, logistic regression, survival analysis (including KM estimator, Cox proportional hazards model, CMH test), basic bootstrap sampling/percentile method for CI, and calculation and use of propensity scores.

In the winter term (Phar 2010 Y), the topics to be discussed include inferences for two means and two proportions, permutation tests, basic probability (through Baye’s theorem with an emphasis on diagnostic testing), inferences for contingency tables, inferences for relative risks and odds ratios, correlation and single variable linear regression, power and sample size calculation, and one way ANOVA.
A previous instructor of the course is willing to share his course materials and give direction regarding the content of the course. .
QUALIFICATIONS: The candidate must possess an appropriate Ph.D., be registered in an appropriate Ph.D. program, or possess a combination of M.Sc. degree in Mathematics or Statistics and previous teaching experience.

IF YOU ARE INTERESTED IN ANY OF THE ABOVE POSITIONS, PLEASE APPLY IN WRITING CLEARLY INDICATING THE COURSE AND TERM BY THE APPLICATION DEADLINE TO:

Ann Bannon, Administrator

Department of Mathematics and Statistics

Chase Building, Room 219

e-mail: ann.bannon@dal.ca

All offers of employment as a Part-Time Academic are conditional upon sufficient student enrolment in the course and approval by the University.

Dalhousie University is committed to fostering a collegial culture grounded in diversity and inclusiveness. The university encourages applications from Aboriginal people, persons with a disability, racially visible persons, women, persons of minority sexual orientations and gender identities, and all qualified candidates who would contribute to the diversity of our community.

—————————————————
Department/Faculty: Mathematics
Course Name: Survey Design
Course Code: MATH 2284 01
Academic Term: Winter
Class Timetable: MW 12:00 – 1:15 pm
Course Unit Value: 0.5 unit
—————————————————
Start Date: 1/7/2019
End Date: 4/30/2019
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in advanced Statistics at the graduate level. Recent
experience teaching Statistics to non-majors is required. In addition,
applicants must also have at least 0.5 units of coursework in survey
design or experience with actual survey design.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: MSVUmath@msvu.ca

Masters of Science in Computing and Data Analytics
PART-TIME POSITIONS
FALL TERM 2018
MCDA5510.1
(Software Development in Business Environment)
The Masters of Science in Computing and Data Analytics program, Faculty of Science, is seeking to staff the following course for the fall semester, 2018:
MCDA 5510.1 MW 5:30pm–700pm
The successful candidate will be required to hold office hours and collaborate with MSc CDA faculty and industry professors. The successful candidate will be paid an honorarium of $7,918
The Program requires the following qualification and experience:
– Minimum Master’s Degree – Successful experience teaching Computing Science at the University level – At least 10 years of software development experience using Java/J2EE and C#/.Net
– Complete familiarity with the latest object-oriented software development methodology – Experience working within an Industry context
Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.
Send your application to:
keith.bain@smu.ca
OR MSc in Computing and Data Analytics Office of the Dean, Faculty of Science
Saint Mary’s University
Halifax, Nova Scotia B3H 3C3
Applications should be received no later than July 31, 2018
If you have never taught at Saint Mary’s,
Send:
-An up-to-date Curriculum Vitae
-University transcripts and Proof of Degrees
(e.g. photocopies of certificates)
AND
Have sent:
-Two (2) letters of reference.

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: MSVUmath@msvu.ca

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: MSVUmath@msvu.ca

Application deadline: 8/3/2018
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: Intro to Statistics I
Course Code: MATH 2208 04
Academic Term: Fall
Class Timetable: TTh 10:30am – 11:45am
Course Unit Value: 0.5 unit
—————————————————
Start Date: 9/5/2018
End Date: 12/20/2018
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level. In addition, experience
teaching a similar introductory statistics course to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams. This is a
coordinated course with a laboratory component. The laboratory components
are taught by the laboratory instructor. Instructors are required to
follow the course syllabus and guidelines for assignments, midterm and
final exams, and grades.

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: MSVUmath@msvu.ca

Course Unit Value: 0.5 unit
—————————————————
Start Date: 9/5/2018
End Date: 12/20/2018
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level. In addition, experience
teaching a similar introductory statistics course to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams. This is a
coordinated course with a laboratory component. The laboratory components
are taught by the laboratory instructor. Instructors are required to
follow the course syllabus and guidelines for assignments, midterm and
final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: MSVUmath@msvu.ca

Course Unit Value: 0.5 unit
—————————————————
Start Date: 9/5/2018
End Date: 12/20/2018
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level. In addition, experience
teaching a similar introductory statistics course to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams. This is a
coordinated course with a laboratory component. The laboratory components
are taught by the laboratory instructor. Instructors are required to
follow the course syllabus and guidelines for assignments, midterm and
final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: MSVUmath@msvu.ca

Course Unit Value: 0.5 unit
—————————————————
Start Date: 9/5/2018
End Date: 12/20/2018
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level. In addition, experience
teaching a similar introductory statistics course to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams. This is a
coordinated course with a laboratory component. The laboratory components
are taught by the laboratory instructor. Instructors are required to
follow the course syllabus and guidelines for assignments, midterm and
final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: MSVUmath@msvu.ca

Class Timetable: TTh 10:30am – 11:45am
Course Unit Value: 0.5 unit
—————————————————
Start Date: 9/5/2018
End Date: 12/20/2018
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level. In addition, experience
teaching a similar introductory statistics course to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams. This is a
coordinated course with a laboratory component. The laboratory components
are taught by the laboratory instructor. Instructors are required to
follow the course syllabus and guidelines for assignments, midterm and
final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: MSVUmath@msvu.ca

In addition, the successful candidate should have prior experience
teaching remedial or introductory mathematics to students who may find the
subject difficult.

Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.

Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: MSVUmath@msvu.ca

In addition, experience teaching a similar introductory statistics course
to non-science majors.

In addition, experience with using MINITAB for data analysis is required.
Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams on campus.

This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor. Instructors are
required to follow the course syllabus and guidelines for assignments,
midterm and final exams, and grades.
Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: MSVUmath@msvu.ca

Course Unit Value: 0.5 unit
—————————————————
Start Date: 9/5/2018
End Date: 12/20/2018
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level.

In addition, experience teaching a similar introductory statistics course
to non-science majors.

In addition, experience with using MINITAB for data analysis is required.
Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams on campus.
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor. Instructors are
required to follow the course syllabus and guidelines for assignments,
midterm and final exams, and grades.
Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: MSVUmath@msvu.ca

Course Unit Value: 0.5 unit
—————————————————
Start Date: 9/5/2018
End Date: 12/20/2018
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level.

In addition, experience teaching a similar introductory statistics course
to non-science majors.

In addition, experience with using MINITAB for data analysis is required.
Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams on campus.
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor. Instructors are
required to follow the course syllabus and guidelines for assignments,
midterm and final exams, and grades.
Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: MSVUmath@msvu.ca

Class Timetable: T 8:00 – 10:00 pm
Course Unit Value: 0.5 unit
—————————————————
Start Date: 9/5/2018
End Date: 12/20/2018
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level.

In addition, experience teaching a similar introductory statistics course
to non-science majors.

In addition, experience with using MINITAB for data analysis is required.
Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams on campus.
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor. Instructors are
required to follow the course syllabus and guidelines for assignments,
midterm and final exams, and grades.
Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: MSVUmath@msvu.ca

—————————————————
Qualifications:
PhD or Masters degree in Mathematics, or Bachelors degree with a major in
Mathematics and with a graduate degree in a related field.
In addition, the successful candidate should have prior experience
teaching remedial or introductory mathematics to students who may find the
subject difficult.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: MSVUmath@msvu.ca

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: MSVUmath@msvu.ca

Application deadline: 8/3/2018
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: Intro to Statistics I
Course Code: MATH 2208 08
Academic Term: Winter
Class Timetable: MW 3:00pm – 4:15pm
Course Unit Value: 0.5 unit
—————————————————
Start Date: 1/7/2019
End Date: 4/30/2019
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level. In addition, experience
teaching a similar introductory statistics course to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams. This is a

coordinated course with a laboratory component. The laboratory components
are taught by the laboratory instructor. Instructors are required to
follow the course syllabus and guidelines for assignments, midterm and
final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: MSVUmath@msvu.ca

Course Unit Value: 0.5 unit
—————————————————
Start Date: 1/7/2019
End Date: 4/30/2019
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level. In addition, experience
teaching a similar introductory statistics course to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams. This is a
coordinated course with a laboratory component. The laboratory components
are taught by the laboratory instructor. Instructors are required to
follow the course syllabus and guidelines for assignments, midterm and
final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: MSVUmath@msvu.ca

Course Unit Value: 0.5 unit
—————————————————
Start Date: 1/7/2019
End Date: 4/30/2019
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level. In addition, experience
teaching a similar introductory statistics course to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams. This is a
coordinated course with a laboratory component. The laboratory components
are taught by the laboratory instructor. Instructors are required to
follow the course syllabus and guidelines for assignments, midterm and
final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: MSVUmath@msvu.ca

Class Timetable: TTh 1:30pm – 2:45pm
Course Unit Value: 0.5 unit
—————————————————
Start Date: 1/7/2019
End Date: 4/30/2019
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level. In addition, experience
teaching a similar introductory statistics course to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams. This is a
coordinated course with a laboratory component. The laboratory components
are taught by the laboratory instructor. Instructors are required to
follow the course syllabus and guidelines for assignments, midterm and
final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: MSVUmath@msvu.ca

Course Unit Value: 0.5 unit
—————————————————
Start Date: 1/7/2019
End Date: 4/30/2019
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level. In addition, experience
teaching a similar introductory statistics course to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams. This is a
coordinated course with a laboratory component. The laboratory components
are taught by the laboratory instructor. Instructors are required to
follow the course syllabus and guidelines for assignments, midterm and
final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: MSVUmath@msvu.ca

Course Unit Value: 0.5 unit
—————————————————
Start Date: 1/7/2019
End Date: 4/30/2019
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level. In addition, experience
teaching a similar introductory statistics course to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams. This is a
coordinated course with a laboratory component. The laboratory components
are taught by the laboratory instructor. Instructors are required to
follow the course syllabus and guidelines for assignments, midterm and
final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: MSVUmath@msvu.ca

In addition, experience teaching a similar introductory statistics course
to non-science majors.

In addition, experience with using MINITAB for data analysis is required.
Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams on campus.

This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor. Instructors are
required to follow the course syllabus and guidelines for assignments,
midterm and final exams, and grades.
Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: MSVUmath@msvu.ca

Course Unit Value: 0.5 unit
—————————————————
Start Date: 1/7/2019
End Date: 4/30/2019
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level.

In addition, experience teaching a similar introductory statistics course
to non-science majors.

In addition, experience with using MINITAB for data analysis is required.
Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams on campus.
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor. Instructors are
required to follow the course syllabus and guidelines for assignments,
midterm and final exams, and grades.
Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: MSVUmath@msvu.ca

Course Code: MATH 2209 19
Academic Term: Winter
Class Timetable: M 7:00pm – 9:00pm
Course Unit Value: 0.5 unit
—————————————————
Start Date: 1/7/2019
End Date: 4/30/2019
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level.

In addition, experience teaching a similar introductory statistics course
to non-science majors.

In addition, experience with using MINITAB for data analysis is required.
Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams on campus.
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor. Instructors are
required to follow the course syllabus and guidelines for assignments,
midterm and final exams, and grades.
Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: MSVUmath@msvu.ca

Application deadline: 8/3/2018
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: LAB – Intro to Statistics II
Course Code: MATH 209L LI
Academic Term: Winter
Class Timetable: W 3:00 – 4:15 pm
Course Unit Value: 0.125 unit
—————————————————
Start Date: 1/7/2019
End Date: 4/30/2019
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors.
Candidates must be sensitive to the needs of the mature learner.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: MSVUmath@msvu.ca

Application deadline: 8/1/2018
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: LAB – Intro to Statistics II
Course Code: MATH 209L LJ
Academic Term: Winter
Class Timetable: W 4:30 – 5:45 pm
Course Unit Value: 0.125 unit
—————————————————
Start Date: 1/7/2019
End Date: 4/30/2019
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors.
Candidates must be sensitive to the needs of the mature learner.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: MSVUmath@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 1/7/2019
End Date: 4/30/2019
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors.
Candidates must be sensitive to the needs of the mature learner.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: MSVUmath@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 1/7/2019
End Date: 4/30/2019
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors.
Candidates must be sensitive to the needs of the mature learner.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: MSVUmath@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 1/7/2019
End Date: 4/30/2019
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors.
Candidates must be sensitive to the needs of the mature learner.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: MSVUmath@msvu.ca

Application deadline: 7/31/2018
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: LAB – Intro to Statistics I
Course Code: MATH 208D DE
Academic Term: Winter
Class Timetable: W 6:45pm – 8:00pm
Course Unit Value: 0.125 unit
—————————————————
Start Date: 1/7/2019
End Date: 4/30/2019
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors is required.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness. Due to distance, the
mailing of materials may extend beyond the traditional time frames.

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: MSVUmath@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 1/7/2019
End Date: 4/30/2019
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors is required.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness. Due to distance, the
mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: MSVUmath@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 1/7/2019
End Date: 4/30/2019
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors is required.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness. Due to distance, the
mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: MSVUmath@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 1/7/2019
End Date: 4/30/2019
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors is required.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness. Due to distance, the
mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: MSVUmath@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 1/7/2019
End Date: 4/30/2019
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors is required.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness. Due to distance, the
mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: MSVUmath@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 1/7/2019
End Date: 4/30/2019
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors is required.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness. Due to distance, the
mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: MSVUmath@msvu.ca

Application deadline: 7/31/2018
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: LAB – Intro to Statistics I
Course Code: MATH 208L LG
Academic Term: Fall
Class Timetable: W 3:00 – 4:15 pm
Course Unit Value: 0.125 unit
—————————————————
Start Date: 9/5/2018
End Date: 12/20/2018
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors.
Candidates must be sensitive to the needs of the mature learner.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: MSVUmath@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 9/5/2018
End Date: 12/20/2018
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors.
Candidates must be sensitive to the needs of the mature learner.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: MSVUmath@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 9/5/2018
End Date: 12/20/2018
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors.
Candidates must be sensitive to the needs of the mature learner.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: MSVUmath@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 9/5/2018
End Date: 12/20/2018
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors.
Candidates must be sensitive to the needs of the mature learner.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: MSVUmath@msvu.ca

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness. Due to distance, the
mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 9/5/2018
End Date: 12/20/2018
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors is required.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness. Due to distance, the
mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: MSVUmath@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 9/5/2018
End Date: 12/20/2018
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors is required.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness. Due to distance, the
mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: MSVUmath@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 9/5/2018
End Date: 12/20/2018
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors is required.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness. Due to distance, the
mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: MSVUmath@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 9/5/2018
End Date: 12/20/2018
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors is required.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness. Due to distance, the
mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: MSVUmath@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 9/5/2018
End Date: 12/20/2018
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors is required.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness. Due to distance, the
mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: MSVUmath@msvu.ca

Application deadline: 7/23/2018
—————————————————

Department of Mathematics and Computing Science

PART-TIME POSITIONS
FALL TERM 2018
CSCI3428.1
(Software Engineering)

The Department of Mathematics & Computing Science is seeking to staff the following course for the Fall semester, 2018:

CSCI3428.1 MW 1:00pm – 2:15am

The successful candidate will be required to hold office hours, and will invigilate and mark midterm and final examinations.

The stipend* for CSCI3428.1 is $4572.00 – $5783.00 (depending on experience at Saint Mary’s).
The Department requires the following qualification and experience:

Minimum Master’s Degree in Computing Science.

Successful experience teaching Software Engineering at the University level.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application to:
Part time positions at ptpositions@cs.smu.ca
OR Department of Mathematics & Computing Science
Saint Mary’s University
Halifax, Nova Scotia
B3H 3C3
*The stipend is subject to the current collective agreement between CUPE and Saint Mary’s University

If you have never taught at Saint Mary’s,
Send:
-An up-to-date Curriculum Vitae
-University transcripts and Proof of Degrees
(e.g. photocopies of certificates)
AND
Have sent:
-Two (2) letters of reference.

The Department of Mathematics & Computing Science is seeking to staff the following course and recitation for the Fall semester, 2018:

CSCI3430.1 TR 5:30pm – 6:45pm
CSCI3430.1R T 7:00pm – 8:15pm

The course recitation are offered as a unit. The successful candidate will be required to hold office hours, and will invigilate and mark midterm and final examinations.

The stipend* for CSCI3430.1 is $4572.00 – $5783.00 (depending on experience at Saint Mary’s). The stipend* for the CSCI3430.1 Rec. is $2286.00 – $2891.50 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Computing Science.

Successful experience teaching Principles of Programming Languages
at the University level.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application to:
Part time positions at ptpositions@cs.smu.ca
Department of Mathematics & Computing Science
Saint Mary’s University
Halifax, Nova Scotia
B3H 3C3
*The stipend is subject to the current collective agreement between CUPE and Saint Mary’s University

If you have never taught at Saint Mary’s,
Send:
-An up-to-date Curriculum Vitae
-University transcripts and Proof of Degrees
(e.g. photocopies of certificates)
AND
Have sent:
-Two (2) letters of reference.

The Department of Mathematics & Computing Science is seeking to staff the following course and recitation for the fall semester, 2018:

CSCI3827.1 MW 05:30pm – 06:45pm
CSCI3827.1R W 04:00pm – 05:15pm

The course and recitation are offered as a unit: preference will be given to instructors willing to teach the recitation as well. The successful candidate will be required to hold office hours, and will invigilate and mark midterm and final examinations.

The stipend* for CSCI3827.1 is $4572.00 – $5783.00 (depending on experience at Saint Mary’s). The stipend for CSCI3827.1 Recitation is $2286.00 – $2891.50 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Computing Science, as related area.

Successful teaching or work experience in the area of Augmented Reality/Virtual Reality.
.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application to:
Part time positions at ptpositions@cs.smu.ca
Or Department of Mathematics & Computing Science
Saint Mary’s University
Halifax, Nova Scotia
B3H 3C3
*The stipend is subject to the current collective agreement between CUPE and Saint Mary’s University

If you have never taught at Saint Mary’s,
Send:
-An up-to-date Curriculum Vitae
-University transcripts and Proof of Degrees
(e.g. photocopies of certificates)
AND
Have sent:
-Two (2) letters of reference.

The part-time academic will be responsible for the continued development and teaching of the Introductory Statistics component of the Dalhousie Integrated Science Program (DISP) (see https://www.dal.ca/faculty/science/integrated-science-program.html), and the development and delivery of some integrated content and activities in collaboration with other DISP faculty. The position is valued at the equivalent of 6 credit hours over the fall and winter, although the duties are more heavily weighted in the fall term.

2 – Instruction/design of the data literacy and research skills component (Winter term). The Writing in Science component of the Integrated Science Program includes scientific methodology, data literacy, and a research project, and is taught across fall and winter terms. The Statistics Instructor will assist with this component by
Providing written feedback to all students on one data-related writing assignment
Holding office hours to provide assistance to students in the analysis of their project data
Grading 3-4 research projects in entirety

3 – Development of statistics materials for laboratories and field trips (Fall and Winter terms)
In collaboration with instructors for other subjects, design the data collection, analysis and reporting components of field trips and labs. The Statistics Instructor will
Develop the statistical component for 3 Biology field trips in fall term (design data sheets, compile student-collected data). Duties will include participation in 2 to 4 of the field trips.
Develop the statistical component for 3 laboratories activities (One each for Biology, Earth Science, Psychology) in winter term (design data sheets, compile student-collected data)

4 – Collaborative teaching and assessment (Fall and Winter term): Engage with instructors of the other subjects, and work collaboratively to deliver the statistics component as part of an integrated whole. The Statistics Instructor will
Attend weekly meetings with other Integrated Science faculty (fall and winter)
Help develop and participate in the delivery of two integrated lectures (80 minutes each) in which faculty explore a topic of interest in an interdisciplinary context (fall)
Help prepare, invigilate and mark midterm and final exam questions that are integrated with other subjects (fall and winter)
Provide year end feedback on, and revisions for the statistics curriculum by submitting a revised detailed statistics syllabus for 2019/2020, including explanations of recommended changes, and learning objectives for statistics lectures and tutorials (by April 30th) (winter term)

REQUIREMENTS FOR THE POSITION:
A PhD graduate degree in Mathematics or Statistics or a related discipline completed or in progress with considerable experience applying statistics to data analysis in other fields of science. Preference will be given to candidates with demonstrated potential for teaching excellence in Introductory Statistics. The successful candidate will be expected to uphold values of equity, diversity, and inclusion within DISP.

Applications should include the following: cover letter, curriculum vitae, contact details for three references, and teaching evaluations (where applicable). IF YOU ARE INTERESTED IN THE ABOVE POSITION, PLEASE APPLY IN WRITING, BY THE APPLICATION DEADLINE TO:

All offers of employment as a Part-Time Academic are conditional upon sufficient student enrolment in the course and approval by the University. Dalhousie University is committed to fostering a collegial culture grounded in diversity and inclusiveness. The University encourages applications from Aboriginal people, persons with a disability, racially visible persons, women, persons of minority sexual orientations and gender identities, and all candidates who would contribute to the diversity of our community.

The Department of Mathematics & Computing Science is seeking to staff the following courses for the Fall semester, 2018.

MATH1190.1 T 04:30pm – 07:00pm
MATH1190.1R T 07:30pm – 08:45pm

The course and recitation are offered as a unit: preference will be given to instructors willing to teach the Recitation as well as the course. The candidate will be required to hold office hours, and will invigilate and mark midterm and final examinations.

The stipend* for MATH1190.1 is $4572.00 – $5783.00 (depending on experience at Saint Mary’s). The stipend* for the MATH1190.1 Recitation is $2286.00 – $2891.50 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Mathematics or Mathematics Education

Successful experience teaching Calculus or Pre-Calculus at the University level.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

The Department of Mathematics & Computing Science is seeking to staff the following courses for the Fall semester, 2018.

MATH1190.1 RB F 11:30am – 12:45pm
MATH1190.1 RD R 02:30pm – 03:45pm

The course and recitation are offered as a unit: The candidate will be required to hold office hours, and will invigilate and mark midterm and final examinations.

The stipend* for MATH1190.1 is $4572.00 – $5783.00 (depending on experience at Saint Mary’s). The stipend* for the MATH1190.1 Recitation is $2286.00 – $2891.50 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Mathematics or Mathematics Education

Successful experience teaching Calculus or Pre-Calculus at the University level.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

If you have never taught at Saint Mary’s,
Send:
-An up-to-date Curriculum Vitae
-University transcripts and Proof of Degrees
(e.g. photocopies of certificates)
AND
Have sent:
-Two (2) letters of reference.

*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University

Preference will be given to instructors with K12 classroom teaching experience.

The course and recitations are offered as a unit: preference will be given to instructors willing to teach this entire unit. The successful candidate will be required to hold office hours, and will invigilate and mark midterm and final examinations.

The stipend* for MATH1202.1 is $4572.00 – $5783.00 (depending on experience at Saint Mary’s). The stipend* for each MATH1202.1 Recitations are $2286.00 – $2891.50 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Mathematics or Mathematics Education
Successful experience teaching a similar course at the University level.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

If you have never taught at Saint Mary’s,
Send:
-An up-to-date Curriculum Vitae
-University transcripts and Proof of Degrees
(e.g. photocopies of certificates)
AND
Have sent:
-Two (2) letters of reference.

*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University

The successful candidate will be required to hold office hours, and will invigilate and mark pre-tests, midterms and final examinations.

The stipend* for MATH1210.1 is $4572.00 – $5783.00 (depending on experience at Saint Mary’s). The stipend* for each MATH1210.1 Recitations are $2286.00 – $2891.50 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Mathematics or Mathematics Education

Successful experience teaching Calculus.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

If you have never taught at Saint Mary’s,
Send:
-An up-to-date Curriculum Vitae
-University transcripts and Proof of Degrees
(e.g. photocopies of certificates)
AND
Have sent:
-Two (2) letters of reference.

*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University

The course and recitations are offered as a unit: preference will be given to instructors willing to teach the entire unit. The successful candidate will be required to hold office hours, and will invigilate and mark midterm and final examinations.

The stipend* for MATH2308.1 is $4572.00 – $5783.00 (depending on experience at Saint Mary’s). The stipend* for the MATH2308.1 Recitation is $2286.00 – $2891.50 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Mathematics

Successful experience teaching Numerical Analysis at the University level.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University
If you have never taught at Saint Mary’s,
Send:
-An up-to-date Curriculum Vitae
-University transcripts and Proof of Degrees
(e.g. photocopies of certificates)
AND
Have sent:
-Two (2) letters of reference.

The Department of Mathematics & Computing Science is seeking to staff the following courses for the Fall semester, 2018:

MATH2311.1A TR 08:30am – 09:45am
MATH2311.1RC F 10:00am – 11:15am

The course and recitation are offered as a unit: The candidate will be required to hold office hours, and will invigilate and mark midterm and final examinations.

The stipend* for the MATH2311.1 Recitation is $2286.00 – $2891.50 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

PHD required for Lecture, MSc in Math oriented subject for Recitation.
Successful experience teaching Intermediate Calculus at the University level.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application to:
Part time positions at ptpositions@cs.smu.ca
Or Department of Mathematics & Computing Science
Saint Mary’s University
Halifax, Nova Scotia
B3H 3C3
*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University

If you have never taught at Saint Mary’s,
Send:
-An up-to-date Curriculum Vitae
-University transcripts and Proof of Degrees
(e.g. photocopies of certificates)
AND
Have sent:
-Two (2) letters of reference.

If you have never taught at Saint Mary’s,
Send:
-An up-to-date Curriculum Vitae
-University transcripts and Proof of Degrees
(e.g. photocopies of certificates)
AND
Have sent:
-Two (2) letters of reference.

*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University

The Department of Mathematics & Computing Science is seeking to staff the following courses for the Summer session, 2018: July 4 – August 22, 2018.

MATH2303.1 TR 05:30pm – 07:59pm
MATH2303.1RA TR 08:00pm – 09:29pm

The candidate will be required to hold office hours, and will invigilate and mark midterm and final examinations.

The stipend* for MATH2303.1 is $4572.00 – $5783.50 (depending on experience at Saint Mary’s). The stipend* for the MATH2303.1 Recitation is $2286.75 – $2891.50 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Ph.D. required.
Successful experience teaching Differential Equations at the University level would be an asset.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

If you have never taught at Saint Mary’s,
Send:
-An up-to-date Curriculum Vitae
-University transcripts and Proof of Degrees
(e.g. photocopies of certificates)
AND
Have sent:
-Two (2) letters of reference.

*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University

Applications should be received no later than May 7, 2018

Saint Mary’s University
Department of Mathematics and Computing Science

CUPE 3912 Job Posting for Part-Time Instructor
Course: MATH 1203 Concepts in High School Mathematics
Lecture and Recitation
Department: Department of Mathematics & Computer Science
Faculty of Science, Saint Mary’s University.
NOTE: The location is off-campus at the NSSCC Waterfront Campus in Dartmouth.
Semester: Summer Session II, 2018
03 JULY 2018 – 27 JULY 2018
Schedule: Lectures: MTWRF 09:00 – 11:00
Recitation: MTWRF 11:00 – 11:45
Academic Calendar Description:
This course is intended for those who are teaching or who plan to teach at the junior or high school level. Topics include: algebra, geometry, probability, and statistics. Material is taught in significantly greater depth that would be actually taught in the school classroom. Course enrolment is restricted to students in the Certificate in Mathematical Sciences for Education.
Qualifications:
The preferred applicant will have demonstrated successful prior experience teaching mathematics to educators and prior instruction experience in the Certificate Program. Applicants must possess at least a masters level degree in mathematics or related field.
Duties:
Duties and responsibilities include all lecture and recitation preparation and delivery, all preparations and evaluations of student assessments in the course.
Remuneration:
Remuneration is in accordance with the Collective Agreement between Saint Mary’s University and CUPE 3912
How to Apply:
Applications are invited in the first instance from part-time faculty colleagues on the Saint Mary’s precedence list. Applicants who currently hold a part-time teaching appointment at Saint Mary’s University should submit a cover letter and a C.V. Applicants who do not currently hold a part-time teaching appointment at Saint Mary’s University should submit a complete application (including a cover letter, CV, proof of academic credentials, name and contact information of three referees, and any evidence of teaching effectiveness).
Submissions are made as a single PDF file sent directly via email to: ptpositions@cs.smu.ca
Application Deadline: April 06, 2018
Saint Mary’s University hires on the basis of merit and is committed to the principles of employment equity. Saint Mary’s University encourages applications from qualified women, visible minorities, Aboriginal people, and people with disabilities. Preference will be given to Canadian citizens and permanent residents of Canada.

CUPE 3912 Job Posting for Part-Time Instructor
Course: MATH 1202 Concepts and Topics in Mathematics
Lecture and Recitation
Department: Department of Mathematics & Computer Science
Faculty of Science, Saint Mary’s University.
NOTE: The location is off-campus at the NSSCC Waterfront Campus in Dartmouth.
Semester: Summer Session I, 2018
07 MAY 2018 – 22 JUNE 2018
Schedule: Lectures: Tuesday & Thursday 16:30 – 19:15
Recitation: Tuesday & Thursday 19:30 – 20:45
Academic Calendar Description:
This course is intended for those who are teaching or who plan to teach at the elementary school level. Fundamental concepts and topics in mathematics provide the necessary background for elementary school teachers. Topics include: the axioms of arithmetic and algebra, the integer, rational and real systems, sets, and logic. Course enrolment is restricted to students in the Certificate in Mathematical Sciences for Education.
Qualifications:
The preferred applicant will have demonstrated successful prior experience teaching mathematics to educators and prior instruction experience in the Certificate Program. Applicants must possess at least a masters level degree in mathematics or related field.
Duties:
Duties and responsibilities include all lecture and recitation preparation and delivery, all preparations and evaluations of student assessments in the course.
Remuneration:
Remuneration is in accordance with the Collective Agreement between Saint Mary’s University and CUPE 3912
How to Apply:
Applications are invited in the first instance from part-time faculty colleagues on the Saint Mary’s precedence list. Applicants who currently hold a part-time teaching appointment at Saint Mary’s University should submit a cover letter and a C.V. Applicants who do not currently hold a part-time teaching appointment at Saint Mary’s University should submit a complete application (including a cover letter, CV, proof of academic credentials, name and contact information of three referees, and any evidence of teaching effectiveness). Submissions are made as a single PDF file sent directly via email to: ptpositions@cs.smu.ca Application Deadline: April 06, 2018
Saint Mary’s University hires on the basis of merit and is committed to the principles of employment equity. Saint Mary’s University encourages applications from qualified women, visible minorities, Aboriginal people, and people with disabilities. Preference will be given to Canadian citizens and permanent residents of Canada.
Department of Mathematics
& Computing Science

—————————————————
Department/Faculty: Mathematics
Course Name: LAB – Intro to Statistics II
Course Code: MATH 209L LA
Academic Term: Summer Session I
Class Timetable: MTWThF 11:30 am – 12:45 pm
Course Unit Value: 0.125 unit
—————————————————
Start Date: 5/31/2018
End Date: 6/22/2018
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors.
Candidates must be sensitive to the needs of the mature learner.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 5/31/2018
End Date: 6/22/2018
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors.
Candidates must be sensitive to the needs of the mature learner.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.ca

The Department of Mathematics & Computing Science is seeking to staff the following courses for the Summer session, 2018: July 4 – August 22, 2018.

MATH1211.1 TR 05:30pm – 07:59pm
MATH1211.1RA TR 08:00pm – 09:29pm

The course and recitation A are offered as a unit: preference will be given to instructors willing to teach Recitation A as well. The candidate will be required to hold office hours, and will invigilate and mark midterm and final examinations.

The stipend* for MATH1211.1 is $4572.00 – $5783.00 (depending on experience at Saint Mary’s). The stipend* for the MATH1211.2 Recitations are $2286.00 – $2891.50 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Mathematics or Mathematics Education
Successful experience teaching Calculus or Pre-Calculus at the University level.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

—————————————————
Department/Faculty: Mathematics
Course Name: Intro to Statistics II
Course Code: MATH 2209 01
Academic Term: Summer Session I
Class Timetable: MTWThF 9:00 – 11:30 AM
Course Unit Value: 0.5
—————————————————
Start Date: 5/31/2018
End Date: 6/22/2018
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level. In addition, experience
teaching a similar introductory statistics course to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams. This is a
coordinated course with a laboratory component. The laboratory components
are taught by the laboratory instructor. Instructors are required to
follow the course syllabus and guidelines for assignments, midterm and
final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: MSVUmath@msvu.ca

Academic Term: Summer Session I
Class Timetable: MTWThF 9:00 – 11:30 AM
Course Unit Value: 0.5
—————————————————
Start Date: 5/31/2018
End Date: 6/22/2018
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level. In addition, experience
teaching a similar introductory statistics course to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams. This is a
coordinated course with a laboratory component. The laboratory components
are taught by the laboratory instructor. Instructors are required to
follow the course syllabus and guidelines for assignments, midterm and
final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: MSVUmath@msvu.ca

Course Unit Value: 0.5
—————————————————
Start Date: 5/31/2018
End Date: 6/22/2018
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level. In addition, experience
teaching a similar introductory statistics course to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams. This is a
coordinated course with a laboratory component. The laboratory components
are taught by the laboratory instructor. Instructors are required to
follow the course syllabus and guidelines for assignments, midterm and
final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: MSVUmath@msvu.ca

Academic Term: Summer Session I
Class Timetable: MTWThF 1:00 – 3:30 pm
Course Unit Value: 0.5
—————————————————
Start Date: 5/31/2018
End Date: 6/22/2018
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level. In addition, experience
teaching a similar introductory statistics course to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams. This is a
coordinated course with a laboratory component. The laboratory components
are taught by the laboratory instructor. Instructors are required to
follow the course syllabus and guidelines for assignments, midterm and
final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: MSVUmath@msvu.ca

—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level. In addition, experience
teaching a similar introductory statistics course to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams. This is a
coordinated course with a laboratory component. The laboratory components
are taught by the laboratory instructor. Instructors are required to
follow the course syllabus and guidelines for assignments, midterm and
final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: MSVUmath@msvu.ca

Academic Term: Summer Session I
Class Timetable: MTWThF 9:00 – 11:30 AM
Course Unit Value: 0.5
—————————————————
Start Date: 5/7/2018
End Date: 5/30/2018
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level. In addition, experience
teaching a similar introductory statistics course to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams. This is a
coordinated course with a laboratory component. The laboratory components
are taught by the laboratory instructor. Instructors are required to
follow the course syllabus and guidelines for assignments, midterm and
final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: MSVUmath@msvu.ca

Academic Term: Summer Session I
Class Timetable: MTWThF 9:00 – 11:30 AM
Course Unit Value: 0.5
—————————————————
Start Date: 5/7/2018
End Date: 5/30/2018
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level. In addition, experience
teaching a similar introductory statistics course to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams. This is a
coordinated course with a laboratory component. The laboratory components
are taught by the laboratory instructor. Instructors are required to
follow the course syllabus and guidelines for assignments, midterm and
final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: MSVUmath@msvu.ca

Application deadline: 3/7/2018
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: LAB – Intro to Statistics I
Course Code: MATH 208L LA
Academic Term: Summer Session I
Class Timetable: MTWThF 11:30 am – 12:45 pm
Course Unit Value: 0.125
—————————————————
Start Date: 5/7/2018
End Date: 5/30/2018
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors.
Candidates must be sensitive to the needs of the mature learner.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: MSVUmath@msvu.ca

Course Unit Value: 0.125
—————————————————
Start Date: 5/7/2018
End Date: 5/30/2018
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors.
Candidates must be sensitive to the needs of the mature learner.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: MSVUmath@msvu.ca

Academic Term: Summer Session I
Class Timetable: MTWThF 1:00 – 3:30 pm
Course Unit Value: 0.5
—————————————————
Start Date: 5/7/2018
End Date: 5/30/2018
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level. In addition, experience
teaching a similar introductory statistics course to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams. This is a
coordinated course with a laboratory component. The laboratory components
are taught by the laboratory instructor. Instructors are required to
follow the course syllabus and guidelines for assignments, midterm and
final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: MSVUmath@msvu.ca

Course Unit Value: 0.5
—————————————————
Start Date: 5/7/2018
End Date: 5/30/2018
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level. In addition, experience
teaching a similar introductory statistics course to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams. This is a
coordinated course with a laboratory component. The laboratory components
are taught by the laboratory instructor. Instructors are required to
follow the course syllabus and guidelines for assignments, midterm and
final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: MSVUmath@msvu.ca

Application deadline: 3/7/2018
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: LAB – Intro to Statistics II
Course Code: MATH 209L LA
Academic Term: Summer Session I
Class Timetable: MTWThF 11:30 am – 12:45 pm
Course Unit Value: 0.125
—————————————————
Start Date: 5/7/2018
End Date: 5/30/2018
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors.
Candidates must be sensitive to the needs of the mature learner.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: MSVUmath@msvu.ca

Course Unit Value: 0.125
—————————————————
Start Date: 5/7/2018
End Date: 5/30/2018
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors.
Candidates must be sensitive to the needs of the mature learner.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: MSVUmath@msvu.ca

In addition, the successful candidate should have prior experience
teaching remedial or introductory mathematics to students who may find the
subject difficult.

Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.

Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: MSVUmath@msvu.ca

Application deadline: 3/7/2018
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: Intro to Statistics I
Course Code: MATH 2208 18
Academic Term: Summer Session I
Class Timetable: T 8:00 – 10:00 pm
Course Unit Value: 0.5
—————————————————
Start Date: 5/7/2018
End Date: 6/22/2018
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level.
In addition, experience teaching a similar introductory statistics course
to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature, and part-time learners.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams on campus.

This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor. Instructors are
required to follow the course syllabus and guidelines for assignments,
midterm and final exams, and grades.
Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: MSVUmath@msvu.ca

Course Unit Value: 0.5
—————————————————
Start Date: 5/7/2018
End Date: 6/22/2018
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level.
In addition, experience teaching a similar introductory statistics course
to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature, and part-time learners.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams on campus.
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor. Instructors are
required to follow the course syllabus and guidelines for assignments,
midterm and final exams, and grades.
Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: MSVUmath@msvu.ca

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness. Due to distance, the
mailing of materials may extend beyond the traditional time frames.

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: MSVUmath@msvu.ca

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness. Due to distance, the
mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: MSVUmsvu@msvu.ca

Course Unit Value: 0.125
—————————————————
Start Date: 5/7/2018
End Date: 6/22/2018
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors is required.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness. Due to distance, the
mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: MSVUmath@msvu.ca

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness. Due to distance, the
mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: MSVUmath@msvu.ca

Academic Term: Summer Session II
Class Timetable: Th 6:30pm – 7:45pm
Course Unit Value: 0.125
—————————————————
Start Date: 7/3/2018
End Date: 8/17/2018
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors is required.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness. Due to distance, the
mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: MSVUmath@msvu.ca

Course Unit Value: 0.125
—————————————————
Start Date: 7/3/2018
End Date: 8/17/2018
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors is required.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness. Due to distance, the
mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: MSVUmath@msvu.ca

—————————————————
Department/Faculty: Mathematics
Course Name: Intro to Statistics II
Course Code: MATH 2209 07
Academic Term: Winter
Class Timetable: W 6:00pm – 8:45pm
Course Unit Value: 0.5 unit
—————————————————
Start Date: 1/3/2018
End Date: 4/25/2018
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level. In addition, experience
teaching a similar introductory statistics course to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams. This is a
coordinated course with a laboratory component. The laboratory components
is taught by the laboratory instructor. Instructors are required to follow
the course syllabus and guidelines for assignments, midterm and final
exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

The course and Rec. A are offered as a unit: preference will be given to instructors willing to teach Lab A as well. The successful candidate will be required to hold office hours, and will invigilate and mark midterm and final examinations.

The stipend* for MATH1203.2 is $4572.00 – $5783.00 (depending on experience at Saint Mary’s). The stipend* for this MATH1203.2 Labs is $2286.00 – $2891.50 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Mathematics or Mathematics Education
Successful experience teaching Mathematics at the University Level. Preference will
be given to instructors with teaching experience in the secondary school system.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

If you have never taught at Saint Mary’s,
Send:
-An up-to-date Curriculum Vitae
-University transcripts and Proof of Degrees
(e.g. photocopies of certificates)
AND
Have sent:
-Two (2) letters of reference.

*The stipend is subject to the current collective agreement between CUPE and Saint Mary’s University

—————————————————
Department/Faculty: Mathematics
Course Name: Intro to Statistics II
Course Code: MATH 2209 02
Academic Term: Winter
Class Timetable: MW 9:00 – 10:15 am
Course Unit Value: 0.5 unit
—————————————————
Start Date: 1/3/2018
End Date: 4/25/2018
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level. In addition, experience
teaching a similar introductory statistics course to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams. This is a
coordinated course with a laboratory component. The laboratory components
is taught by the laboratory instructor. Instructors are required to follow
the course syllabus and guidelines for assignments, midterm and final
exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

The Department of Mathematics & Computing Science is seeking to staff the following course for the winter semester, 2018:

CSCI1226.2 TR 10:00am – 11:15am
CSCI1226.2LB TR 01:00pm – 02:15pm

The successful candidate will be required to hold office hours, and will invigilate and mark midterm and final examinations.

The stipend* for CSCI1226.2 is $4572.00 – $5783.00 (depending on experience at Saint Mary’s). The stipend* for the CSCI1226.2 Recitation is $2286.00 – $2891.50 (depending on experience at Saint Mary’s).

If you have never taught at Saint Mary’s,
Send:
-An up-to-date Curriculum Vitae
-University transcripts and Proof of Degrees
(e.g. photocopies of certificates)
AND
Have sent:
-Two (2) letters of reference.

*The stipend is subject to the current collective agreement between CUPE and Saint Mary’s University

Applications should be received no later than Oct. 13, 2017

Department of Mathematics and Computing Science

PART-TIME POSITIONS
WINTER TERM 2018
CSCI4471.2
(Computer Graphics)

The Department of Mathematics & Computing Science is seeking to staff the following course for the winter semester, 2018:

CSCI4471.2 MW 01:00pm – 02:15pm

The successful candidate will be required to hold office hours, and will invigilate and mark midterm and final examinations.

The stipend* for CSCI4471.2 is $4572.00 – $5783.00 (depending on experience at Saint Mary’s).

If you have never taught at Saint Mary’s,
Send:
-An up-to-date Curriculum Vitae
-University transcripts and Proof of Degrees
(e.g. photocopies of certificates)
AND
Have sent:
-Two (2) letters of reference.

*The stipend is subject to the current collective agreement between CUPE and Saint Mary’s University

Applications should be received no later than Oct. 13, 2017

Mount Saint Vincent University

—————————————————
Department/Faculty: Mathematics
Course Name: LAB – Intro to Statistics II
Course Code: MATH 209L LG (2nd posting)
Academic Term: Winter
Class Timetable: W 3:00 – 4:15 pm
Course Unit Value: 0.125 unit
—————————————————
Start Date: 1/3/2018
End Date: 4/25/2018
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors.
Candidates must be sensitive to the needs of the mature learner.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 1/3/2018
End Date: 4/25/2018
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors.
Candidates must be sensitive to the needs of the mature learner.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 1/3/2018
End Date: 4/25/2018
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors.
Candidates must be sensitive to the needs of the mature learner.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 1/3/2018
End Date: 4/25/2018
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors.
Candidates must be sensitive to the needs of the mature learner.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 1/3/2018
End Date: 4/25/2018
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors.
Candidates must be sensitive to the needs of the mature learner.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 1/3/2018
End Date: 4/25/2018
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors.
Candidates must be sensitive to the needs of the mature learner.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness. Due to distance, the
mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 1/3/2018
End Date: 4/25/2018
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors is required.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness. Due to distance, the
mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 1/3/2018
End Date: 4/25/2018
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors is required.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness. Due to distance, the
mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 1/3/2018
End Date: 4/25/2018
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors is required.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness. Due to distance, the
mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 1/3/2018
End Date: 4/25/2018
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors is required.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness. Due to distance, the
mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 1/3/2018
End Date: 4/25/2018
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors is required.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness. Due to distance, the
mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

DEPARTMENT/LOCATION: Mathematics and Statistics, Chase Building
PAY RATE: As per CUPE Collective Agreement
WORK ASSIGNMENT:
The topics to be covered in the course are available from the Chair of the Department. Descriptions
are also given in the Undergraduate Calendar for 2017-18 published by the Registrar’s Office,
Dalhousie University. The Instructor is responsible for all aspects of teaching, grading and
administration of the class and in addition is to be available for three hours per week outside class
times for student consultation. The instructor reports to the Chair.
QUALIFICATIONS: The candidate must possess an appropriate Ph.D., be registered in an
appropriate Ph.D. program, or possess a combination of M.Sc. degree in Mathematics or Statistics
and previous teaching experience. Interested candidates should send their resumes to:
Department of Mathematics and Statistics
Dalhousie University
Halifax, N.S. Canada B3H 3J5
e-mail: admin@mathstat.dal.ca
IF YOU ARE INTERESTED IN THE ABOVE POSITION, PLEASE APPLY IN WRITING, WITH
CURRICULUM VITAE, BY THE APPLICATION DEADLINE.
All offers of employment as a Part-Time Academic are conditional upon sufficient student enrolment in
the course and approval by the University.
All qualified candidates are encouraged to apply; however, Canadians and permanent
residents will be given priority. Dalhousie University is committed to fostering a collegial
culture grounded in diversity and inclusiveness. The university encourages applications from
Aboriginal people, persons with a disability, racially visible persons, women, persons of
minority sexual orientations and gender identities, and all qualified candidates who would
contribute to the diversity of our community.

—————————————————
Department/Faculty: Mathematics
Course Name: LAB – Intro to Statistics I
Course Code: MATH 208L LG
Academic Term: Fall
Class Timetable: W 3:00 – 4:15 pm
Course Unit Value: 0.125 unit
—————————————————
Start Date: 9/6/2017
End Date: 12/21/2017
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors.
Candidates must be sensitive to the needs of the mature learner.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Application deadline: 8/16/2018
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: LAB – Intro to Statistics I
Course Code: MATH 208L LH
Academic Term: Fall
Class Timetable: W 6:00pm – 7:15pm
Course Unit Value: 0.125 unit
—————————————————
Start Date: 9/6/2017
End Date: 12/21/2017
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors.
Candidates must be sensitive to the needs of the mature learner.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Application deadline: 8/16/2017
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: LAB – Intro to Statistics I
Course Code: MATH 208L LK
Academic Term: Fall
Class Timetable: Th 3:00pm – 4:15pm
Course Unit Value: 0.125 unit
—————————————————
Start Date: 9/6/2017
End Date: 12/21/2017
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors. Candidates must be
sensitive to the needs of the mature learner.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: Tina.Harriott@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 9/6/2017
End Date: 12/21/2017
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors. Candidates must be
sensitive to the needs of the mature learner.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

WORK ASSIGNMENT:
The topics to be covered in the course are available from the Chair of the Department. Descriptions are also given in the Undergraduate Calendar for 2017-18 published by the Registrar’s Office, Dalhousie University. The Instructor is responsible for all aspects of teaching, grading and administration of the class and in addition is to be available for three hours per week outside class times for student consultation. The instructor reports to the Chair.

QUALIFICATIONS: The candidate must possess an appropriate Ph.D., be registered in an appropriate Ph.D. program, or possess a combination of M.Sc. degree in Mathematics or Statistics and previous teaching experience. Interested candidates should send their resumes to:

IF YOU ARE INTERESTED IN ANY OF THE ABOVE POSITIONS, PLEASE APPLY IN WRITING, WITH CURRICULUM VITAE, BY THE APPLICATION DEADLINE.

All offers of employment as a Part-Time Academic are conditional upon sufficient student enrolment in the course and approval by the University.

All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority. Dalhousie University is committed to fostering a collegial culture grounded in diversity and inclusiveness. The university encourages applications from Aboriginal people, persons with a disability, racially visible persons, women, persons of minority sexual orientations and gender identities, and all qualified candidates who would contribute to the diversity of our community.

In addition, experience teaching a similar introductory statistics course
to non-science majors.

In addition, experience with using MINITAB for data analysis is required.
Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams on campus.
This is a coordinated course with a laboratory component. The laboratory
components is taught by the laboratory instructor. Instructors are
required to follow the course syllabus and guidelines for assignments,
midterm and final exams, and grades.
Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.5 unit
—————————————————
Start Date: 1/3/2018
End Date: 4/25/2018
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level.

In addition, experience teaching a similar introductory statistics course
to non-science majors.

In addition, experience with using MINITAB for data analysis is required.
Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams on campus.
This is a coordinated course with a laboratory component. The laboratory
components is taught by the laboratory instructor. Instructors are
required to follow the course syllabus and guidelines for assignments,
midterm and final exams, and grades.
Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Class Timetable: M 7:00pm – 9:00pm
Course Unit Value: 0.5 unit
—————————————————
Start Date: 1/3/2018
End Date: 4/25/2018
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level.

In addition, experience teaching a similar introductory statistics course
to non-science majors.

In addition, experience with using MINITAB for data analysis is required.
Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams on campus.
This is a coordinated course with a laboratory component. The laboratory
components is taught by the laboratory instructor. Instructors are
required to follow the course syllabus and guidelines for assignments,
midterm and final exams, and grades.
Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Application deadline: 8/18/2017
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: LAB – Intro to Statistics I
Course Code: MATH 208D DE
Academic Term: Winter
Class Timetable: W 6:45pm – 8:00pm
Course Unit Value: 0.125 unit
—————————————————
Start Date: 1/3/2018
End Date: 4/25/2018
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors is required.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness. Due to distance, the
mailing of materials may extend beyond the traditional time frames.

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 1/3/2018
End Date: 4/25/2018
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors is required.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness. Due to distance, the
mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 1/3/2018
End Date: 4/25/2018
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors is required.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness. Due to distance, the
mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 1/3/2018
End Date: 4/25/2018
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors is required.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness. Due to distance, the
mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 1/3/2018
End Date: 4/25/2018
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors is required.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness. Due to distance, the
mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 1/3/2018
End Date: 4/25/2018
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors is required.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness. Due to distance, the
mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Application deadline: 8/18/2017
—————————————————

Part‑Time Academic Postings ‑ Mathematics and Statistics

Posted by Mathematics and Statistics on July 26, 2017 in Job Postings
PART-TIME ACADEMIC POSTING

WORK ASSIGNMENT:
The topics to be covered in the course are available from the Chair of the Department. Descriptions are also given in the Undergraduate Calendar for 2017-18 published by the Registrar’s Office, Dalhousie University. The Instructor is responsible for all aspects of teaching, grading and administration of the class and in addition is to be available for three hours per week outside class times for student consultation. The instructor reports to the Chair.

QUALIFICATIONS: The candidate must possess an appropriate Ph.D., be registered in an appropriate Ph.D. program, or possess a combination of M.Sc. degree in Mathematics or Statistics and previous teaching experience. Interested candidates should send their resumes to

IF YOU ARE INTERESTED IN ANY OF THE ABOVE POSITIONS, PLEASE APPLY IN WRITING, WITH CURRICULUM VITAE, BY THE APPLICATION DEADLINE.

All offers of employment as a Part-Time Academic are conditional upon sufficient student enrolment in the course and approval by the University.

All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority. Dalhousie University is committed to fostering a collegial culture grounded in diversity and inclusiveness. The university encourages applications from Aboriginal people, persons with a disability, racially visible persons, women, persons of minority sexual orientations and gender identities, and all qualified candidates who would contribute to the diversity of our community.

Course Unit Value: 0.125 unit
—————————————————
Start Date: 1/3/2018
End Date: 4/25/2018
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors.
Candidates must be sensitive to the needs of the mature learner.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 1/3/2018
End Date: 4/25/2018
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors.
Candidates must be sensitive to the needs of the mature learner.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Application deadline: 8/15/2017
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: Intro to Statistics II
Course Code: MATH 2209 07
Academic Term: Winter
Class Timetable: W 6:00pm – 8:45pm
Course Unit Value: 0.5 unit
—————————————————
Start Date: 1/3/2018
End Date: 4/25/2018
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level. In addition, experience
teaching a similar introductory statistics course to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams. This is a
coordinated course with a laboratory component. The laboratory components
is taught by the laboratory instructor. Instructors are required to follow
the course syllabus and guidelines for assignments, midterm and final
exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.5 unit
—————————————————
Start Date: 1/3/2018
End Date: 4/25/2018
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level. In addition, experience
teaching a similar introductory statistics course to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams. This is a
coordinated course with a laboratory component. The laboratory components
is taught by the laboratory instructor. Instructors are required to follow
the course syllabus and guidelines for assignments, midterm and final
exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Application deadline: 8/15/2017
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: College Algebra
Course Code: MATH 0020 02
Academic Term: Winter
Class Timetable: MW 6:00pm – 7:15pm
Course Unit Value: 0.5 unit
—————————————————
Start Date: 1/3/2018
End Date: 4/25/2018
—————————————————
Qualifications:
PhD or Masters degree in Mathematics, or Bachelors degree with a major in
Mathematics and with a graduate degree in a related field.
In addition, the successful candidate should have prior experience
teaching remedial or introductory mathematics to students who may find the
subject difficult.

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

In addition, the successful candidate should have prior experience
teaching introductory mathematics to students who may find the subject
difficult.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: Kerri.alsaidi@msvu.ca

Course Unit Value: 0.5 unit
—————————————————
Start Date: 1/3/2018
End Date: 4/25/2018
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level. In addition, experience
teaching a similar introductory statistics course to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams. This is a
coordinated course with a laboratory component. The laboratory components
is taught by the laboratory instructor. Instructors are required to follow
the course syllabus and guidelines for assignments, midterm and final
exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Application deadline: 8/15/2017
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: LAB – Intro to Statistics II
Course Code: MATH 209L LG
Academic Term: Winter
Class Timetable: W 3:00pm – 4:15pm
Course Unit Value: 0.125 unit
—————————————————
Start Date: 1/3/2018
End Date: 4/25/2018
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors.
Candidates must be sensitive to the needs of the mature learner.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 1/3/2018
End Date: 4/25/2018
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors.
Candidates must be sensitive to the needs of the mature learner.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 1/3/2018
End Date: 4/25/2018
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors.
Candidates must be sensitive to the needs of the mature learner.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

—————————————————
Start Date: 1/3/2018
End Date: 4/25/2018
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level. In addition, experience
teaching a similar introductory statistics course to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams. This is a
coordinated course with a laboratory component. The laboratory components
is taught by the laboratory instructor. Instructors are required to follow
the course syllabus and guidelines for assignments, midterm and final
exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.5 unit
—————————————————
Start Date: 1/3/2018
End Date: 4/25/2018
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level. In addition, experience
teaching a similar introductory statistics course to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams. This is a
coordinated course with a laboratory component. The laboratory components
is taught by the laboratory instructor. Instructors are required to follow
the course syllabus and guidelines for assignments, midterm and final
exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Application deadline: 8/15/2017
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: LAB – Intro to Statistics II
Course Code: MATH 209L LK
Academic Term: Winter
Class Timetable: Th 1:30pm – 2:45pm
Course Unit Value: 0.125 unit
—————————————————
Start Date: 1/3/2018
End Date: 4/25/2018
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors.
Candidates must be sensitive to the needs of the mature learner.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness. Due to distance, the
mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Application deadline: 6/13/2017
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: Introductory Calculus I
Course Code: MATH 1113 02
Academic Term: Fall
Class Timetable: TTh 9:00am – 10:15am
Course Unit Value: 0.5 unit
—————————————————
Start Date: 9/6/2017
End Date: 12/21/2017
—————————————————
Qualifications:
PhD or Master’s degree in Mathematics. In addition, the successful
candidate must have prior experience teaching Introductory Calculus at the
University level in courses which include students from a variety of
majors.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a multi-section course and so the successful candidate must follow
the outline, schedule and content provided by the department.

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

In addition, the successful candidate should have prior experience
teaching remedial or introductory mathematics to students who may find the
subject difficult.

Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.

Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Application deadline: 6/30/2017
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: Intro to Statistics I
Course Code: MATH 2208 04
Academic Term: Fall
Class Timetable: TTh 10:30am – 11:45am
Course Unit Value: 0.5 unit
—————————————————
Start Date: 9/6/2017
End Date: 12/21/2017
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level. In addition, experience
teaching a similar introductory statistics course to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams. This is a
coordinated course with a laboratory component. The laboratory components
is taught by the laboratory instructor. Instructors are required to follow
the course syllabus and guidelines for assignments, midterm and final
exams, and grades.

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.5 unit
—————————————————
Start Date: 9/6/2017
End Date: 12/21/2017
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level. In addition, experience
teaching a similar introductory statistics course to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams. This is a
coordinated course with a laboratory component. The laboratory components
is taught by the laboratory instructor. Instructors are required to follow
the course syllabus and guidelines for assignments, midterm and final
exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.5 unit
—————————————————
Start Date: 9/6/2017
End Date: 12/21/2017
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level. In addition, experience
teaching a similar introductory statistics course to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams. This is a
coordinated course with a laboratory component. The laboratory components
is taught by the laboratory instructor. Instructors are required to follow
the course syllabus and guidelines for assignments, midterm and final
exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.5 unit
—————————————————
Start Date: 9/6/2017
End Date: 12/21/2017
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level. In addition, experience
teaching a similar introductory statistics course to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams. This is a
coordinated course with a laboratory component. The laboratory components
is taught by the laboratory instructor. Instructors are required to follow
the course syllabus and guidelines for assignments, midterm and final
exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Application deadline: 6/30/2017
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: LAB MATH 2208 – Intro to Statistics I
Course Code: MATH 208L LG
Academic Term: Fall
Class Timetable: W 3:00pm – 4:15pm
Course Unit Value: 0.125 unit
—————————————————
Start Date: 9/6/2017
End Date: 12/21/2017
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors.
Candidates must be sensitive to the needs of the mature learner.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 9/6/2017
End Date: 12/21/2017
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors.
Candidates must be sensitive to the needs of the mature learner.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 9/6/2017
End Date: 12/21/2017
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors.
Candidates must be sensitive to the needs of the mature learner.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

In addition, experience teaching a similar introductory statistics course
to non-science majors.

In addition, experience with using MINITAB for data analysis is required.
Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams on campus.

This is a coordinated course with a laboratory component. The laboratory
components is taught by the laboratory instructor. Instructors are
required to follow the course syllabus and guidelines for assignments,
midterm and final exams, and grades.
Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.5 unit
—————————————————
Start Date: 9/6/2017
End Date: 12/21/2017
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level.

In addition, experience teaching a similar introductory statistics course
to non-science majors.

In addition, experience with using MINITAB for data analysis is required.
Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams on campus.
This is a coordinated course with a laboratory component. The laboratory
components is taught by the laboratory instructor. Instructors are
required to follow the course syllabus and guidelines for assignments,
midterm and final exams, and grades.
Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.5 unit
—————————————————
Start Date: 9/6/2017
End Date: 12/21/2017
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level.

In addition, experience teaching a similar introductory statistics course
to non-science majors.

In addition, experience with using MINITAB for data analysis is required.
Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams on campus.
This is a coordinated course with a laboratory component. The laboratory
components is taught by the laboratory instructor. Instructors are
required to follow the course syllabus and guidelines for assignments,
midterm and final exams, and grades.
Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness. Due to distance, the
mailing of materials may extend beyond the traditional time frames.

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 9/6/2017
End Date: 12/21/2017
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors is required.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness. Due to distance, the
mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 9/6/2017
End Date: 12/21/2017
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors is required.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness. Due to distance, the
mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Application deadline: 6/30/2017
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: Intro to Statistics II
Course Code: MATH 2209 01
Academic Term: Fall
Class Timetable: TTh 10:30am – 11:45am
Course Unit Value: 0.5 unit
—————————————————
Start Date: 9/6/2017
End Date: 12/21/2017
—————————————————
Qualifications:
Qualifications: PhD in Mathematics or Statistics, or a Masters degree in
Statistics, or a Masters degree in a field related to Statistics with at
least one unit of coursework in Statistics at the graduate level. In
addition, experience teaching a similar introductory statistics course to
non-science majors.
In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
: The candidate will assist with writing and proctoring exams. This is a

coordinated course with a laboratory component. The laboratory components
is taught by the laboratory instructor. Instructors are required to follow
the course syllabus and guidelines for assignments, midterm and final
exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

In addition, experience teaching a similar introductory statistics course
to non-science majors.

In addition, experience with using MINITAB for data analysis is required.
Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams on campus.
This is a coordinated course with a laboratory component. The laboratory
components is taught by the laboratory instructor. Instructors are
required to follow the course syllabus and guidelines for assignments,
midterm and final exams, and grades.
Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness. Due to distance, the
mailing of materials may extend beyond the traditional time frames.

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 9/6/2017
End Date: 12/21/2017
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors is required.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness. Due to distance, the
mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

—————————————————
Department/Faculty: Mathematics
Course Name: Intro to Statistics I
Course Code: MATH 2208 28
Academic Term: Summer Session I
Class Timetable: T 8:00 – 10:00 pm
Course Unit Value: 0.5 unit
—————————————————
Start Date: 5/8/2017
End Date: 6/23/2017
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level.
In addition, experience teaching a similar introductory statistics course
to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams on campus.
This is a coordinated course with a laboratory component. The laboratory
components is taught by the laboratory instructor. Instructors are
required to follow the course syllabus and guidelines for assignments,
midterm and final exams, and grades.
Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness. Due to distance, the
mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: Kerri.alsaidi@msvu.ca

Application deadline: 5/1/2017
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: Intro to Statistics II
Course Code: MATH 2209 19
Academic Term: Summer Session I
Class Timetable: T 7:00 – 9:00 pm
Course Unit Value: 0.5 unit
—————————————————
Start Date: 5/8/2017
End Date: 6/23/2017
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level.
In addition, experience teaching a similar introductory statistics course
to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams on campus.
This is a coordinated course with a laboratory component. The laboratory
components is taught by the laboratory instructor. Instructors are
required to follow the course syllabus and guidelines for assignments,
midterm and final exams, and grades.
Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner. Synchronous and asynchronous
discussions occur during the week on-line.

—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness. Due to distance, the
mailing of materials may extend beyond the traditional time frames.

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

—————————————————
Department/Faculty: Mathematics
Course Name: College Algebra
Course Code: MATH 0020 18
Academic Term: Summer Session I
Class Timetable: W 7:00 – 9:00 PM
Course Unit Value: 0.5 unit
—————————————————
Start Date: 5/8/2017
End Date: 6/23/2017
—————————————————
Qualifications:
PhD or Masters degree in Mathematics, or Bachelors degree with a major in
Mathematics and with a graduate degree in a related field.
In addition, the successful candidate should have prior experience
teaching remedial or introductory mathematics to students who may find the
subject difficult.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Application deadline: 2/27/2017
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: Intro to Statistics I
Course Code: MATH 2208 01
Academic Term: Summer Session I
Class Timetable: MTWThF 9:00 – 11:30 AM
Course Unit Value: 0.5 unit
—————————————————
Start Date: 5/8/2017
End Date: 5/31/2017
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level. In addition, experience
teaching a similar introductory statistics course to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams. This is a
coordinated course with a laboratory component. The laboratory components
is taught by the laboratory instructor. Instructors are required to follow
the course syllabus and guidelines for assignments, midterm and final
exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Application deadline: 2/27/2017
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: Intro to Statistics I
Course Code: MATH 2208 02
Academic Term: Summer Session I
Class Timetable: MTWThF 9:00 – 11:30 AM
Course Unit Value: 0.5 unit
—————————————————
Start Date: 5/8/2017
End Date: 5/31/2017
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level. In addition, experience
teaching a similar introductory statistics course to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams. This is a
coordinated course with a laboratory component. The laboratory components
is taught by the laboratory instructor. Instructors are required to follow
the course syllabus and guidelines for assignments, midterm and final
exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Application deadline: 2/27/2017
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: Intro to Statistics I
Course Code: MATH 2208 04
Academic Term: Summer Session I
Class Timetable: MTWThF 1:00 – 3:30 PM
Course Unit Value: 0.5 unit
—————————————————
Start Date: 5/8/2017
End Date: 5/31/2017
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level. In addition, experience
teaching a similar introductory statistics course to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams. This is a
coordinated course with a laboratory component. The laboratory components
is taught by the laboratory instructor. Instructors are required to follow
the course syllabus and guidelines for assignments, midterm and final
exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Application deadline: 2/27/2017
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: Intro to Statistics I
Course Code: MATH 2208 05
Academic Term: Summer Session I
Class Timetable: MTWThF 11:30 am – 2:00 pm
Course Unit Value: 0.5 unit
—————————————————
Start Date: 5/8/2017
End Date: 5/31/2017
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level. In addition, experience
teaching a similar introductory statistics course to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams. This is a
coordinated course with a laboratory component. The laboratory components
is taught by the laboratory instructor. Instructors are required to follow
the course syllabus and guidelines for assignments, midterm and final
exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Application deadline: 2/27/2017
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: Intro to Statistics II
Course Code: MATH 2209 01
Academic Term: Summer Session I
Class Timetable: MTWThF 9:00 – 11:30 AM
Course Unit Value: 0.5 unit
—————————————————
Start Date: 6/1/2017
End Date: 6/23/2017
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level. In addition, experience
teaching a similar introductory statistics course to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams. This is a
coordinated course with a laboratory component. The laboratory components
is taught by the laboratory instructor. Instructors are required to follow
the course syllabus and guidelines for assignments, midterm and final
exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Application deadline: 2/27/2017
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: Intro to Statistics II
Course Code: MATH 2209 02
Academic Term: Summer Session I
Class Timetable: MTWThF 9:00 – 11:30 AM
Course Unit Value: 0.5 unit
—————————————————
Start Date: 6/1/2017
End Date: 6/23/2017
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level. In addition, experience
teaching a similar introductory statistics course to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams. This is a
coordinated course with a laboratory component. The laboratory components
is taught by the laboratory instructor. Instructors are required to follow
the course syllabus and guidelines for assignments, midterm and final
exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Application deadline: 2/27/2017
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: Intro to Statistics II
Course Code: MATH 2209 04
Academic Term: Summer Session I
Class Timetable: MTWThF 1:00 – 3:30 pm
Course Unit Value: 0.5 unit
—————————————————
Start Date: 6/1/2017
End Date: 6/23/2017
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level. In addition, experience
teaching a similar introductory statistics course to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams. This is a
coordinated course with a laboratory component. The laboratory components
is taught by the laboratory instructor. Instructors are required to follow
the course syllabus and guidelines for assignments, midterm and final
exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Application deadline: 2/27/2017
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: LAB – Intro to Statistics I
Course Code: MATH 208L LA
Academic Term: Summer Session I
Class Timetable: MTWThF 11:30 am – 12:45 pm
Course Unit Value: 0.125 unit
—————————————————
Start Date: 5/8/2017
End Date: 5/31/2017
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors.
Candidates must be sensitive to the needs of the mature learner.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Application deadline: 2/27/2017
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: LAB – Intro to Statistics I
Course Code: MATH 208L LB
Academic Term: Summer Session I
Class Timetable: MTWThF 3:30 – 4:45 pm
Course Unit Value: 0.125 unit
—————————————————
Start Date: 5/8/2017
End Date: 5/31/2017
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors.
Candidates must be sensitive to the needs of the mature learner.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Application deadline: 2/27/2017
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: LAB – Intro to Statistics I
Course Code: MATH 208L LC
Academic Term: Summer Session I
Class Timetable: MTWThF 2:00 – 3:15 pm
Course Unit Value: 0.125 unit
—————————————————
Start Date: 5/8/2017
End Date: 5/31/2017
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors.
Candidates must be sensitive to the needs of the mature learner.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Application deadline: 2/27/2017
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: LAB – Intro to Statistics II
Course Code: MATH 209L LA
Academic Term: Summer Session I
Class Timetable: MTWThF 11:30 am – 12:45 pm
Course Unit Value: 0.125 unit
—————————————————
Start Date: 6/1/2017
End Date: 6/23/2017
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors.
Candidates must be sensitive to the needs of the mature learner.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Application deadline: 2/27/2017
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: LAB – Intro to Statistics II
Course Code: MATH 209L LB
Academic Term: Summer Session I
Class Timetable: MTWThF 3:30 – 4:45 pm
Course Unit Value: 0.125 unit
—————————————————
Start Date: 6/1/2017
End Date: 6/23/2017
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors.
Candidates must be sensitive to the needs of the mature learner.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Application deadline: 2/27/2017
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: Intro to Statistics I
Course Code: MATH 2208 18
Academic Term: Summer Session I
Class Timetable: T 8:00 – 10:00 pm
Course Unit Value: 0.5 unit
—————————————————
Start Date: 5/8/2017
End Date: 6/23/2017
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level. In addition, experience
teaching a similar introductory statistics course to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams on campus.
This is a coordinated course with a laboratory component. The laboratory
components is taught by the laboratory instructor. Instructors are
required to follow the course syllabus and guidelines for assignments,
midterm and final exams, and grades.
Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Application deadline: 2/27/2017
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: Intro to Statistics I
Course Code: MATH 2208 19
Academic Term: Summer Session I
Class Timetable: W 8:00 – 10:00 pm
Course Unit Value: 0.5 unit
—————————————————
Start Date: 5/8/2017
End Date: 6/23/2017
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level. In addition, experience
teaching a similar introductory statistics course to non-science majors.
In addition, experience with using MINITAB for data analysis is required.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams on campus.
This is a coordinated course with a laboratory component. The laboratory
components is taught by the laboratory instructor. Instructors are
required to follow the course syllabus and guidelines for assignments,
midterm and final exams, and grades.
Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness. Due to distance, the
mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness. Due to distance, the
mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness. Due to distance, the
mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness. Due to distance, the
mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness. Due to distance, the
mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

The topics to be covered in the course are available from the Chair of the Department. Descriptions are also given in the Undergraduate Calendar for 2016-17 published by the Registrar’s Office, Dalhousie University. The Instructor is responsible for all aspects of teaching, grading and administration of the class and in addition is to be available for three hours per week outside class times for student consultation. The instructor reports to the Chair.

QUALIFICATIONS: The candidate must possess an appropriate Ph.D. or be registered in a Ph.D. program. If a candidate with these qualifications is unavailable, a candidate with an M.Sc. degree in Mathematics or Statistics and with previous teaching experience may be appointed. Interested candidates should send their resumes to:

IF YOU ARE INTERESTED IN ANY OF THE ABOVE POSITIONS, PLEASE REPLY IN WRITING, WITH CURRICULUM VITAE, BY THE APPLICATION DEADLINE.

All offers of employment as a part-time academic are conditional upon sufficient student enrolment in the course and approval by the University.

Dalhousie University is committed to fostering a collegial culture grounded in diversity and inclusiveness. The university encourages applications from qualified Aboriginal people, persons with a disability, racially visible persons, women, persons of minority sexual orientations and gender identities, and all qualified candidates who would contribute to the diversity of our community.

—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Application deadline: 8/19/2016
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: LAB – Intro. to Statistics II
Course Code: MATH 209L LH – 2nd posting
Academic Term: Winter
Class Timetable: W 4:30 – 5:45 PM
Course Unit Value: 0.125 unit
—————————————————
Start Date: 1/4/2017
End Date: 4/26/2017
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors.
Candidates must be sensitive to the needs of the mature learner.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Application deadline: 8/19/2016
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: LAB – Intro to Statistics II
Course Code: MATH 209L LL – 2nd posting
Academic Term: Winter
Class Timetable: Th 3:00 – 4:15 PM
Course Unit Value: 0.125 unit
—————————————————
Start Date: 1/4/2017
End Date: 4/26/2017
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors.
Candidates must be sensitive to the needs of the mature learner.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Application deadline: 8/19/2016
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: LAB – Intro to Statistics II
Course Code: MATH 209L LM – 2nd posting
Academic Term: Winter
Class Timetable: Th 4:30 – 5:45 PM
Course Unit Value: 0.125 unit
—————————————————
Start Date: 1/4/2017
End Date: 4/26/2017
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors.
Candidates must be sensitive to the needs of the mature learner.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

The topics to be covered in the course are available from the Chair of the Department. Descriptions are also given in the Undergraduate Calendar for 2016-17 published by the Registrar’s Office, Dalhousie University. The Instructor is responsible for all aspects of teaching, grading and administration of the class and in addition is to be available for three hours per week outside class times for student consultation. The instructor reports to the Chair.

QUALIFICATIONS: The candidate must possess an appropriate Ph.D. or be registered in a Ph.D. program. If a candidate with these qualifications is unavailable, a candidate with an M.Sc. degree in Mathematics or Statistics and with previous teaching experience
may be appointed. Interested candidates should send their resumes to:

IF YOU ARE INTERESTED IN ANY OF THE ABOVE POSITIONS, PLEASE REPLY IN WRITING, WITH CURRICULUM VITAE, BY THE APPLICATION DEADLINE.

All offers of employment as a part-time academic are conditional upon sufficient student enrolment in the course and approval by the University.

Dalhousie University is committed to fostering a collegial culture grounded in diversity and inclusiveness. The university encourages applications from qualified Aboriginal people, persons with a disability, racially visible persons, women, persons of minority sexual orientations and gender identities, and all qualified candidates who would contribute to the diversity of our community.

In addition, experience teaching a similar introductory statistics course
to non-science majors.

In addition, experience with using MINITAB for data analysis is required.
Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams on campus.
This is a coordinated course with a laboratory component. The laboratory
components is taught by the laboratory instructor. Instructors are
required to follow the course syllabus and guidelines for assignments,
midterm and final exams, and grades.
Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

In addition, the successful candidate should have prior experience
teaching
remedial or introductory mathematics to students who may find the
subject difficult.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Application deadline: 6/10/2016
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: Intro to Statistics I
Course Code: MATH 2208 08
Academic Term: Winter
Class Timetable: MW 3:00 – 4:15 PM
Course Unit Value: 0.5 unit
—————————————————
Start Date: 1/4/2017
End Date: 4/26/2017
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level. In addition, experience
teaching a similar introductory statistics course to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams. This is a
coordinated course with a laboratory component. The laboratory components
is taught by the laboratory instructor. Instructors are required to follow
the course syllabus and guidelines for assignments, midterm and final
exams, and grades.

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.5 unit
—————————————————
Start Date: 1/4/2017
End Date: 4/26/2017
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level. In addition, experience
teaching a similar introductory statistics course to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams. This is a
coordinated course with a laboratory component. The laboratory components
is taught by the laboratory instructor. Instructors are required to follow
the course syllabus and guidelines for assignments, midterm and final
exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.5 unit
—————————————————
Start Date: 1/4/2017
End Date: 4/26/2017
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level. In addition, experience
teaching a similar introductory statistics course to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams. This is a
coordinated course with a laboratory component. The laboratory components
is taught by the laboratory instructor. Instructors are required to follow
the course syllabus and guidelines for assignments, midterm and final
exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.5 unit
—————————————————
Start Date: 1/4/2017
End Date: 4/26/2017
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level. In addition, experience
teaching a similar introductory statistics course to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams. This is a
coordinated course with a laboratory component. The laboratory components
is taught by the laboratory instructor. Instructors are required to follow
the course syllabus and guidelines for assignments, midterm and final
exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.5 unit
—————————————————
Start Date: 1/4/2017
End Date: 4/26/2017
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level. In addition, experience
teaching a similar introductory statistics course to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams. This is a
coordinated course with a laboratory component. The laboratory components
is taught by the laboratory instructor. Instructors are required to follow
the course syllabus and guidelines for assignments, midterm and final
exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.5 unit
—————————————————
Start Date: 1/4/2017
End Date: 4/26/2017
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level. In addition, experience
teaching a similar introductory statistics course to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams. This is a
coordinated course with a laboratory component. The laboratory components
is taught by the laboratory instructor. Instructors are required to follow
the course syllabus and guidelines for assignments, midterm and final
exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.5 unit
—————————————————
Start Date: 1/4/2017
End Date: 4/26/2017
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level. In addition, experience
teaching a similar introductory statistics course to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams. This is a
coordinated course with a laboratory component. The laboratory components
is taught by the laboratory instructor. Instructors are required to follow
the course syllabus and guidelines for assignments, midterm and final
exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.5 unit
—————————————————
Start Date: 1/4/2017
End Date: 4/26/2017
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level. In addition, experience
teaching a similar introductory statistics course to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams. This is a
coordinated course with a laboratory component. The laboratory components
is taught by the laboratory instructor. Instructors are required to follow
the course syllabus and guidelines for assignments, midterm and final
exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

In addition, experience teaching a similar introductory statistics course
to non-science majors.

In addition, experience with using MINITAB for data analysis is required.
Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams on campus.
This is a coordinated course with a laboratory component. The laboratory
components is taught by the laboratory instructor. Instructors are
required to follow the course syllabus and guidelines for assignments,
midterm and final exams, and grades.
Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.5 unit
—————————————————
Start Date: 1/4/2017
End Date: 4/26/2017
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level.

In addition, experience teaching a similar introductory statistics course
to non-science majors.

In addition, experience with using MINITAB for data analysis is required.
Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams on campus.
This is a coordinated course with a laboratory component. The laboratory
components is taught by the laboratory instructor. Instructors are
required to follow the course syllabus and guidelines for assignments,
midterm and final exams, and grades.
Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness. Due to distance, the
mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Application deadline: 5/18/2016
—————————————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: LAB – Intro to Statistics II
Course Code: MATH 209L LG
Academic Term: Winter
Class Timetable: W 3:00 – 4:15 PM
Course Unit Value: 0.125 unit
—————————————————
Start Date: 1/4/2017
End Date: 4/26/2017
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors.
Candidates must be sensitive to the needs of the mature learner.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 1/4/2017
End Date: 4/26/2017
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors.
Candidates must be sensitive to the needs of the mature learner.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 1/4/2017
End Date: 4/26/2017
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors.
Candidates must be sensitive to the needs of the mature learner.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 1/4/2017
End Date: 4/26/2017
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors.
Candidates must be sensitive to the needs of the mature learner.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 1/4/2017
End Date: 4/26/2017
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors.
Candidates must be sensitive to the needs of the mature learner.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 1/4/2017
End Date: 4/26/2017
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors.
Candidates must be sensitive to the needs of the mature learner.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 1/4/2017
End Date: 4/26/2017
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors is required.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness. Due to distance, the
mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 1/4/2017
End Date: 4/26/2017
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors is required.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness. Due to distance, the
mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 1/4/2017
End Date: 4/26/2017
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors is required.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness. Due to distance, the
mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 1/4/2017
End Date: 4/26/2017
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors is required.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness. Due to distance, the
mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 1/4/2017
End Date: 4/26/2017
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors is required.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness. Due to distance, the
mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 1/4/2017
End Date: 4/26/2017
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors is required.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness. Due to distance, the
mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Application deadline: 6/10/2016
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: Intro to Statistics I
Course Code: MATH 2208 01
Academic Term: Fall
Class Timetable: MW 9:00 – 10:15 AM
Course Unit Value: 0.5 unit
—————————————————
Start Date: 9/7/2016
End Date: 12/22/2016
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a Masters degree in a field related to Statistics with at least one unit of coursework in Statistics at the graduate level. In addition, experience teaching a similar introductory statistics course to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking, distribution of student evaluation questionnaires, involvement in student appeals, and other duties appropriate to the appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams. This is a coordinated course with a laboratory component. The laboratory components is taught by the laboratory instructor. Instructors are required to follow the course syllabus and guidelines for assignments, midterm and final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer Science
Email: kerri.alsaidi@msvu.ca

Application deadline: 5/31/2016
—————————————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: Intro to Statistics I
Course Code: MATH 2208 03
Academic Term: Fall
Class Timetable: T Th 10:30 – 11:45 AM
Course Unit Value: 0.5 unit
—————————————————
Start Date: 9/7/2016
End Date: 12/22/2016
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a Masters degree in a field related to Statistics with at least one unit of coursework in Statistics at the graduate level. In addition, experience teaching a similar introductory statistics course to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking, distribution of student evaluation questionnaires, involvement in student appeals, and other duties appropriate to the appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams. This is a coordinated course with a laboratory component. The laboratory components is taught by the laboratory instructor. Instructors are required to follow the course syllabus and guidelines for assignments, midterm and final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer Science
Email: kerri.alsaidi@msvu.ca

Application deadline: 5/31/2016
—————————————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: Intro to Startistics I
Course Code: MATH 2208 04
Academic Term: Fall
Class Timetable: MW 12:00 – 1:15PM
Course Unit Value: 0.5 unit
—————————————————
Start Date: 9/7/2016
End Date: 12/22/2016
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a Masters degree in a field related to Statistics with at least one unit of coursework in Statistics at the graduate level. In addition, experience teaching a similar introductory statistics course to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking, distribution of student evaluation questionnaires, involvement in student appeals, and other duties appropriate to the appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams. This is a coordinated course with a laboratory component. The laboratory components is taught by the laboratory instructor. Instructors are required to follow the course syllabus and guidelines for assignments, midterm and final exams, and grades.

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer Science
Email: kerri.alsaidi@msvu.ca

Application deadline: 5/31/2016
—————————————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: Intro to Statistics I
Course Code: MATH 2208 05
Academic Term: Fall
Class Timetable: T Th 12:00 – 1:15 PM
Course Unit Value: 0.5 unit
—————————————————
Start Date: 9/7/2016
End Date: 12/22/2016
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a Masters degree in a field related to Statistics with at least one unit of coursework in Statistics at the graduate level. In addition, experience teaching a similar introductory statistics course to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking, distribution of student evaluation questionnaires, involvement in student appeals, and other duties appropriate to the appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams. This is a coordinated course with a laboratory component. The laboratory components is taught by the laboratory instructor. Instructors are required to follow the course syllabus and guidelines for assignments, midterm and final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer Science
Email: kerri.alsaidi@msvu.ca

Application deadline: 5/31/2016
—————————————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: Intro to Statistics I
Course Code: MATH 2208 06
Academic Term: Fall
Class Timetable: T Th 1:30 – 2:45 PM
Course Unit Value: 0.5 unit
—————————————————
Start Date: 9/7/2016
End Date: 12/22/2016
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a Masters degree in a field related to Statistics with at least one unit of coursework in Statistics at the graduate level. In addition, experience teaching a similar introductory statistics course to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking, distribution of student evaluation questionnaires, involvement in student appeals, and other duties appropriate to the appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams. This is a coordinated course with a laboratory component. The laboratory components is taught by the laboratory instructor. Instructors are required to follow the course syllabus and guidelines for assignments, midterm and final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer Science
Email: kerri.alsaidi@msvu.ca

Application deadline: 5/31/2016
—————————————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: Intro to Statistics I
Course Code: MATH 2208 07
Academic Term: Fall
Class Timetable: Th 6:00 – 8:45 PM
Course Unit Value: 0.5 unit
—————————————————
Start Date: 9/7/2016
End Date: 12/22/2016
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a Masters degree in a field related to Statistics with at least one unit of coursework in Statistics at the graduate level. In addition, experience teaching a similar introductory statistics course to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking, distribution of student evaluation questionnaires, involvement in student appeals, and other duties appropriate to the appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams. This is a coordinated course with a laboratory component. The laboratory components is taught by the laboratory instructor. Instructors are required to follow the course syllabus and guidelines for assignments, midterm and final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer Science
Email: kerri.alsaidi@msvu.ca

Application deadline: 5/31/2016
—————————————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: Intro to Statistics II
Course Code: MATH 2209 01
Academic Term: Fall
Class Timetable: T Th 10:30 – 11:45 AM
Course Unit Value: 0.5 unit
—————————————————
Start Date: 9/7/2016
End Date: 12/22/2016
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a Masters degree in a field related to Statistics with at least one unit of coursework in Statistics at the graduate level. In addition, experience teaching a similar introductory statistics course to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking, distribution of student evaluation questionnaires, involvement in student appeals, and other duties appropriate to the appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams. This is a coordinated course with a laboratory component. The laboratory components is taught by the laboratory instructor. Instructors are required to follow the course syllabus and guidelines for assignments, midterm and final exams, and grades.

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer Science
Email: kerri.alsaidi@msvu.ca

In addition, experience teaching a similar introductory statistics course to non-science majors.

In addition, experience with using MINITAB for data analysis is required.
Candidates must also have experience using the Blackboard Collaborate virtual classroom. Candidates must be willing to participate in additional training in the optimum range of teaching operations in the Moodle LMS and in the Collaborate virtual classroom, if necessary, to reach the required level of competency before the course begins. Candidates must also be sensitive to the needs of distant, mature and part-time learners.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking, distribution of student evaluation questionnaires, involvement in student appeals, and other duties appropriate to the appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams on campus.
This is a coordinated course with a laboratory component. The laboratory components is taught by the laboratory instructor. Instructors are required to follow the course syllabus and guidelines for assignments, midterm and final exams, and grades.
Due to distance, the mailing of materials may extend beyond the traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer Science
Email: kerri.alsaidi@msvu.ca

In addition, experience teaching a similar introductory statistics course to non-science majors.

In addition, experience with using MINITAB for data analysis is required.
Candidates must also have experience using the Blackboard Collaborate virtual classroom. Candidates must be willing to participate in additional training in the optimum range of teaching operations in the Moodle LMS and in the Collaborate virtual classroom, if necessary, to reach the required level of competency before the course begins. Candidates must also be sensitive to the needs of distant, mature and part-time learners.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking, distribution of student evaluation questionnaires, involvement in student appeals, and other duties appropriate to the appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams on campus.
This is a coordinated course with a laboratory component. The laboratory components is taught by the laboratory instructor. Instructors are required to follow the course syllabus and guidelines for assignments, midterm and final exams, and grades.
Due to distance, the mailing of materials may extend beyond the traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer Science
Email: kerri.alsaidi@msvu.ca

In addition, experience teaching a similar introductory statistics course to non-science majors.

In addition, experience with using MINITAB for data analysis is required.
Candidates must also have experience using the Blackboard Collaborate virtual classroom. Candidates must be willing to participate in additional training in the optimum range of teaching operations in the Moodle LMS and in the Collaborate virtual classroom, if necessary, to reach the required level of competency before the course begins. Candidates must also be sensitive to the needs of distant, mature and part-time learners.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking, distribution of student evaluation questionnaires, involvement in student appeals, and other duties appropriate to the appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams on campus.
This is a coordinated course with a laboratory component. The laboratory components is taught by the laboratory instructor. Instructors are required to follow the course syllabus and guidelines for assignments, midterm and final exams, and grades.
Due to distance, the mailing of materials may extend beyond the traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer Science
Email: kerri.alsaidi@msvu.ca

In addition, experience teaching a similar introductory statistics course to non-science majors.

In addition, experience with using MINITAB for data analysis is required.
Candidates must also have experience using the Blackboard Collaborate virtual classroom. Candidates must be willing to participate in additional training in the optimum range of teaching operations in the Moodle LMS and in the Collaborate virtual classroom, if necessary, to reach the required level of competency before the course begins. Candidates must also be sensitive to the needs of distant, mature and part-time learners.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking, distribution of student evaluation questionnaires, involvement in student appeals, and other duties appropriate to the appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams on campus.
This is a coordinated course with a laboratory component. The laboratory components is taught by the laboratory instructor. Instructors are required to follow the course syllabus and guidelines for assignments, midterm and final exams, and grades.
Due to distance, the mailing of materials may extend beyond the traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer Science
Email: kerri.alsaidi@msvu.ca

Application deadline: 5/31/2016
—————————————————

Part‑Time Academic Posting ‑ Mathematics and Statistics

Posted by Mathematics and Statistics on May 3, 2016 in Job Postings
POSTING DATE: May 2, 2016
APPLICATION DEADLINE: May 13, 2016

The topics to be covered in the course are available from the Chair of the Department. Descriptions are also given in the Undergraduate Calendar for 2016-17 published by the Registrar’s Office, Dalhousie University. The Instructor is responsible for all aspects of teaching, grading and administration of the class and in addition is to be available for three hours per week outside class times for student consultation. The instructor reports to the Chair.

QUALIFICATIONS: The candidate must possess an appropriate Ph.D. or be registered in a Ph.D. program. If a candidate with these qualifications is unavailable, a candidate with an M.Sc. degree in Mathematics or Statistics and with previous teaching experience
may be appointed. Interested candidates should send their resumes to:

IF YOU ARE INTERESTED IN ANY OF THE ABOVE POSITIONS, PLEASE REPLY IN WRITING, WITH CURRICULUM VITAE, BY THE APPLICATION DEADLINE.

All offers of employment as a part-time academic are conditional upon sufficient student enrollment in the course and approval by the University.

Dalhousie University is committed to fostering a collegial culture grounded in diversity and inclusiveness. The university encourages applications from qualified Aboriginal people, persons with a disability, racially visible persons, women, persons of minority sexual orientations and gender identities, and all qualified candidates who would contribute to the diversity of our community.

In addition, the successful candidate should have prior experience
teaching
remedial or introductory mathematics to students who may find the
subject difficult.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Application deadline: 5/31/2016
—————————————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: LAB – Intro to Statistics I
Course Code: MATH 208L LG
Academic Term: Fall
Class Timetable: W 3:00-4:15 PM
Course Unit Value: 0.125 unit
—————————————————
Start Date: 9/7/2016
End Date: 12/22/2016
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors.
Candidates must be sensitive to the needs of the mature learner.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 9/7/2016
End Date: 12/22/2016
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors.
Candidates must be sensitive to the needs of the mature learner.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 9/7/2016
End Date: 12/22/2016
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors.
Candidates must be sensitive to the needs of the mature learner.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 9/7/2016
End Date: 12/22/2016
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors.
Candidates must be sensitive to the needs of the mature learner.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

In addition, the successful candidate should have prior experience
teaching remedial or introductory mathematics to students who may find the
subject difficult.

Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness. Due to distance, the
mailing of materials may extend beyond the traditional time frames.

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 9/7/2016
End Date: 12/22/2016
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors is required.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness. Due to distance, the
mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 9/7/2016
End Date: 12/22/2016
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors is required.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness. Due to distance, the
mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 9/7/2016
End Date: 12/22/2016
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors is required.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness. Due to distance, the
mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 9/7/2016
End Date: 12/22/2016
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors is required.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness. Due to distance, the
mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 9/7/2016
End Date: 12/22/2016
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors is required.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness. Due to distance, the
mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Application deadline: 5/31/2016
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: Intro to Statistics I – LAB
Course Code: MATH 208D DC
Academic Term: Summer Session I
Class Timetable: Th 9:30pm-10:45 pm
Course Unit Value: 0.125 unit
—————————————————
Start Date: 5/9/2016
End Date: 6/24/2016
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors is required.
Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness. Due to distance, the
mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

—————————————————
Department/Faculty: Mathematics
Course Name: Intro to Statistics I
Course Code: MATH 2208 01
Academic Term: Summer Session I
Class Timetable: M,T,W,Th,F 9:00-11:30am
Course Unit Value: 0.5 unit
—————————————————
Start Date: 5/9/2016
End Date: 6/1/2016
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level.

In addition, experience teaching a similar introductory statistics course
to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components is taught by the laboratory instructor. Instructors are
required to follow the course syllabus and guidelines for assignments,
midterm and final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Academic Term: Summer Session I
Class Timetable: M,T,W,Th,F 9:00-11:30am
Course Unit Value: 0.5 unit
—————————————————
Start Date: 5/9/2016
End Date: 6/1/2016
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level.
In addition, experience teaching a similar introductory statistics course
to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components is taught by the laboratory instructor. Instructors are
required to follow the course syllabus and guidelines for assignments,
midterm and final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.5 unit
—————————————————
Start Date: 5/9/2016
End Date: 6/1/2016
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level.
In addition, experience teaching a similar introductory statistics course
to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components is taught by the laboratory instructor. Instructors are
required to follow the course syllabus and guidelines for assignments,
midterm and final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Academic Term: Summer Session I
Class Timetable: M,T,W,Th,F 1:00-3:30 pm
Course Unit Value: 0.5 unit
—————————————————
Start Date: 5/9/2016
End Date: 6/1/2016
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level.
In addition, experience teaching a similar introductory statistics course
to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components is taught by the laboratory instructor. Instructors are
required to follow the course syllabus and guidelines for assignments,
midterm and final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.5 unit
—————————————————
Start Date: 5/9/2016
End Date: 6/1/2016
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level.
In addition, experience teaching a similar introductory statistics course
to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components is taught by the laboratory instructor. Instructors are
required to follow the course syllabus and guidelines for assignments,
midterm and final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Application deadline: 3/8/2016
—————————————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: Intro to Statistics I – LAB
Course Code: MATH 208L LA
Academic Term: Summer Session I
Class Timetable: M,T,W,Th,F 11:30am – 12:45pm
Course Unit Value: 0.125 unit
—————————————————
Start Date: 5/9/2016
End Date: 6/1/2016
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one
unit of coursework in Statistics. In addition, experience teaching
similar introductory statistics
labs to non-science majors.
Candidates must be sensitive to the needs of the mature learner.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 5/9/2016
End Date: 6/1/2016
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics
labs to non-science majors.
Candidates must be sensitive to the needs of the mature learner.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 5/9/2016
End Date: 6/1/2016
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics
labs to non-science majors.
Candidates must be sensitive to the needs of the mature learner.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level.
In addition, experience teaching a similar introductory statistics course
to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components is taught by the laboratory instructor. Instructors are
required to follow the course syllabus and guidelines for assignments,
midterm and final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Academic Term: Summer Session I
Class Timetable: M,T,W,Th,F 9:00-11:30 am
Course Unit Value: 0.5 unit
—————————————————
Start Date: 6/2/2016
End Date: 6/24/2016
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level.
In addition, experience teaching a similar introductory statistics course
to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components is taught by the laboratory instructor. Instructors are
required to follow the course syllabus and guidelines for assignments,
midterm and final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.5 unit
—————————————————
Start Date: 6/2/2016
End Date: 6/24/2016
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level.
In addition, experience teaching a similar introductory statistics course
to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components is taught by the laboratory instructor. Instructors are
required to follow the course syllabus and guidelines for assignments,
midterm and final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Academic Term: Summer Session I
Class Timetable: M,T,W,Th,F 1:00-3:30 pm
Course Unit Value: 0.5 unit
—————————————————
Start Date: 6/2/2016
End Date: 6/24/2016
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level.
In addition, experience teaching a similar introductory statistics course
to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components is taught by the laboratory instructor. Instructors are
required to follow the course syllabus and guidelines for assignments,
midterm and final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Application deadline: 3/8/2016
—————————————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: Intro to Statistics II-LAB
Course Code: MATH 209L LA
Academic Term: Summer Session I
Class Timetable: M,T,W,Th,F 11:30am -12:45 pm
Course Unit Value: 0.125 unit
—————————————————
Start Date: 6/2/2016
End Date: 6/24/2016
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics
labs to non-science majors.
Candidates must be sensitive to the needs of the mature learner.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 6/2/2016
End Date: 6/24/2016
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors.
Candidates must be sensitive to the needs of the mature learner.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

In addition, the successful candidate should have prior experience
teaching
remedial or introductory mathematics to students who may find the
subject difficult.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to
reach the required level of competency before the course begins.
Candidates must also be sensitive to the needs of distant, mature and
part-time learners.

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Application deadline: 3/8/2016
—————————————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: Intro to Statistics I – LAB
Course Code: MATH 208D DA
Academic Term: Summer Session I
Class Timetable: W 8:00-9:15 pm
Course Unit Value: 0.125 unit
—————————————————
Start Date: 5/9/2016
End Date: 6/24/2016
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors is required.
Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness. Due to distance, the
mailing of materials may extend beyond the traditional time frames.

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 5/9/2016
End Date: 6/24/2016
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors is required.
Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness. Due to distance, the
mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 5/9/2016
End Date: 6/24/2016
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors is required.
Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness. Due to distance, the
mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Application deadline: 3/8/2016
—————————————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: Intro to Statistics I
Course Code: MATH 2208 18
Academic Term: Summer Session I
Class Timetable: T 8:00-10:00 pm
Course Unit Value: 0.5 unit
—————————————————
Start Date: 5/9/2016
End Date: 6/24/2016
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level.

In addition, experience teaching a similar introductory statistics course
to non-science majors.

In addition, experience with using MINITAB for data analysis is required.
Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.

—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components is taught by the laboratory instructor. Instructors are
required to follow the course syllabus and guidelines for assignments,
midterm and final exams, and grades.
Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course. Instructors are also expected to
proctor midterm and final exams on campus.

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.5 unit
—————————————————
Start Date: 5/9/2016
End Date: 6/24/2016
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level.

In addition, experience teaching a similar introductory statistics course
to non-science majors.

In addition, experience with using MINITAB for data analysis is required.
Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components is taught by the laboratory instructor. Instructors are
required to follow the course syllabus and guidelines for assignments,
midterm and final exams, and grades.
Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course. Instructors are also expected to
proctor midterm and final exams on campus.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Application deadline: 3/8/2016
—————————————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: Intro to Statistics II – LAB
Course Code: MATH 209D DA
Academic Term: Summer Session II
Class Timetable: Th 8:00-9:15 pm
Course Unit Value: 0.125 unit
—————————————————
Start Date: 7/4/2016
End Date: 8/19/2016
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors is required.
Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness. Due to distance, the
mailing of materials may extend beyond the traditional time frames.

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 7/4/2016
End Date: 8/19/2016
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors is required.
Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.
Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness. Due to distance, the
mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

The topics to be covered in the course are available from the Chair of the Department. Descriptions are also given in the Undergraduate Calendar for 2015-16 published by the Registrar’s Office, Dalhousie University. The Instructor is responsible for all aspects of teaching, grading and administration of the class and in addition is to be available for three hours per week outside class times for student consultation. The instructor reports to the Chair.

QUALIFICATIONS: The candidate must possess an appropriate Ph.D. or be registered in a Ph.D. program. If a candidate with these qualifications is unavailable, a candidate with an M.Sc. degree in Mathematics or Statistics and with previous teaching experience
may be appointed. Interested candidates should send their resumes to

IF YOU ARE INTERESTED IN ANY OF THE ABOVE POSITIONS, PLEASE REPLY IN WRITING, WITH CURRICULUM VITAE, BY THE APPLICATION DEADLINE.

All offers of employment as a part-time academic are conditional upon sufficient student enrolment in the course and approval by the University.
Dalhousie University is an Employment Equity/Affirmative Action employer. The University encourages application from qualified Aboriginal peoples, people with a disability, racially visible persons and women.

The Masters of Science in Computing and Data Analytics program, Faculty of Science, is seeking to staff the following course for the winter semester, 2016:

MCDA 5570.2 TR 5:30pm – 6:45pm

The successful candidate will be required to hold office hours and collaborate with MSc CDA faculty and industry professors. The successful candidate will be paid an honorarium of $7,400

The Program requires the following qualification and experience:

• Minimum Master’s Degree
• Successful experience teaching Computing Science at the University level
• 3-5 years of experience in managing computing hardware and software, including general system administration, hardware and software acquisition, setting up servers, web services, SQL server, NoSQL server such as Mongo DB, server side web programming services including PHP and node.js, creating and managing desktop images in a lab environment.
• Experience working within an Industry context

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

If you have never taught at Saint Mary’s,
Send:
-An up-to-date Curriculum Vitae
-University transcripts and Proof of Degrees
(e.g. photocopies of certificates)
AND
Have sent:
-Two (2) letters of reference.

The Masters of Science in Computing and Data Analytics program, Faculty of Science, is seeking to staff the following course for the winter semester, 2016:

MCDA 5570.2 TR 5:30pm – 6:45pm

The successful candidate will be required to hold office hours and collaborate with MSc CDA faculty and industry professors. The successful candidate will be paid an honorarium of $7,400

The Program requires the following qualification and experience:

• Minimum Master’s Degree
• Successful experience teaching Computing Science at the University level
• 3-5 years of experience in managing computing hardware and software, including general system administration, hardware and software acquisition, setting up servers, web services, SQL server, NoSQL server such as Mongo DB, server side web programming services including PHP and node.js, creating and managing desktop images in a lab environment.
• Experience working within an Industry context

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

If you have never taught at Saint Mary’s,
Send:
-An up-to-date Curriculum Vitae
-University transcripts and Proof of Degrees
(e.g. photocopies of certificates)
AND
Have sent:
-Two (2) letters of reference.

The Department of Mathematics & Computing Science is seeking to staff the following courses for the winter semester, 2016:

MATH2309.2 MW 4:00pm –5:15pm
MATH2309.2R F 11:30am –12:45pm

The course and recitation A are offered as a unit: preference will be given to instructors willing to teach both. The successful candidate will be required to hold office hours, and will invigilate and mark the midterm and final examinations.

*The stipend for MATH2309.2 is $4572.00 – $5783.00, and for MATH2309.2Rec, $2286.00 – $2891.50 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Mathematics or Mathematics Education

Successful experience teaching Numerical Analysis at the University level.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

If you have never taught at Saint Mary’s,
Send:
-An up-to-date Curriculum Vitae
-University transcripts and Proof of Degrees
(e.g. photocopies of certificates)
AND
Have sent:
-Two (2) letters of reference.

*The stipend is subject to the current collective agreement between CUPE and Saint Mary’s University

The Department of Mathematics & Computing Science is seeking to staff the following courses for the winter semester, 2016:

MATH2309.2 MW 4:00pm –5:15pm
MATH2309.2R F 11:30am –12:45pm

The course and recitation A are offered as a unit: preference will be given to instructors willing to teach both. The successful candidate will be required to hold office hours, and will invigilate and mark the midterm and final examinations.

*The stipend for MATH2309.2 is $4572.00 – $5783.00, and for MATH2309.2Rec, $2286.00 – $2891.50 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Mathematics or Mathematics Education

Successful experience teaching Numerical Analysis at the University level.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

If you have never taught at Saint Mary’s,
Send:
-An up-to-date Curriculum Vitae
-University transcripts and Proof of Degrees
(e.g. photocopies of certificates)
AND
Have sent:
-Two (2) letters of reference.

*The stipend is subject to the current collective agreement between CUPE and Saint Mary’s University

In addition, experience teaching a similar introductory statistics course
to non-science majors.

In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components is taught by the laboratory instructor. Instructors are
required to follow the course syllabus and guidelines for assignments,
midterm and final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Application deadline: 12/8/2015
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: Lab-Intro to Statistics II
Course Code: MATH 209L LP
Academic Term: Winter
Class Timetable: W 4:30 – 5:45 PM
Course Unit Value: 0.125 unit
—————————————————
Start Date: 1/5/2016
End Date: 4/27/2016
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
closely related to Statistics. The candidate must have completed at least
one full unit of coursework in Statistics. In addition, experience
teaching similar introductory statistics labs to non-science majors is
required. Candidates must be sensitive to the needs of the mature learner.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

In addition, experience teaching similar introductory statistics labs to
non-science majors is required.

In addition, experience with using MINITAB for data analysis is required.
Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must be sensitive
to the needs of the mature learner. Synchronous and asynchronous
discussions occur during the week on-line. Due to distance, the mailing of
materials may extend beyond the traditional time frames.

—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

The Department of Mathematics & Computing Science is seeking to staff the following courses for the winter semester, 2016, in DARTMOUTH:

MATH1211.2WA T 4:30pm – 7:15pm
MATH1211.2RW T 7:30pm – 8:45pm

The course and Rec. W are offered as a unit: preference will be given to instructors willing to teach Lab A as well. The successful candidate will be required to hold office hours, and will invigilate and mark midterm and final examinations.

The stipend* for MATH1211.2 is $4572.00 – $5783.00 (depending on experience at Saint Mary’s). The stipend for this MATH1211.2 Labs is $2286.00 – $2891.50 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Mathematics or Mathematics Education

Successful experience teaching Calculus or Pre-Calculus at the University level.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

If you have never taught at Saint Mary’s,
Send:
-An up-to-date Curriculum Vitae
-University transcripts and Proof of Degrees
(e.g. photocopies of certificates)
AND
Have sent:
-Two (2) letters of reference.

*The stipend is subject to the current collective agreement between CUPE and Saint Mary’s University

Applications should be received no later than December 4, 2015

Saint Mary’s University
Department of Mathematics and Computing Science

If you have never taught at Saint Mary’s,
Send:
-An up-to-date Curriculum Vitae
-University transcripts and Proof of Degrees
(e.g. photocopies of certificates)
AND
Have sent:
-Two (2) letters of reference.

*The stipend is subject to the current collective agreement between CUPE and Saint Mary’s University

The course and Rec. A are offered as a unit: preference will be given to instructors willing to teach Lab A as well. The successful candidate will be required to hold office hours, and will invigilate and mark midterm and final examinations.

The stipend* for MATH1203.2 is $4572.00 – $5783.00 (depending on experience at Saint Mary’s). The stipend for this MATH1203.2 Labs is $2286.00 – $2891.50 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Mathematics or Mathematics Education
Successful experience teaching Mathematics at the University Level. Preference will
be given to instructors with teaching experience in the secondary school system.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

If you have never taught at Saint Mary’s,
Send:
-An up-to-date Curriculum Vitae
-University transcripts and Proof of Degrees
(e.g. photocopies of certificates)
AND
Have sent:
-Two (2) letters of reference.

*The stipend is subject to the current collective agreement between CUPE and Saint Mary’s University

If you have never taught at Saint Mary’s,
Send:
-An up-to-date Curriculum Vitae
-University transcripts and Proof of Degrees
(e.g. photocopies of certificates)
AND
Have sent:
-Two (2) letters of reference.

*The stipend is subject to the current collective agreement between CUPE and Saint Mary’s University

The course and Rec. A are offered as a unit: preference will be given to instructors willing to teach Lab A as well. The successful candidate will be required to hold office hours, and will invigilate and mark midterm and final examinations.

The stipend* for MATH2303.2 is $4572.00 – $5783.00 (depending on experience at Saint Mary’s). The stipend for this MATH2303.2 Labs is $2286.00 – $2891.50 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

PHD required.
Successful experience teaching Differential Equations at the University level would be an asset.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

If you have never taught at Saint Mary’s,
Send:
-An up-to-date Curriculum Vitae
-University transcripts and Proof of Degrees
(e.g. photocopies of certificates)
AND
Have sent:
-Two (2) letters of reference.

*The stipend is subject to the current collective agreement between CUPE and Saint Mary’s University

If you have never taught at Saint Mary’s,
Send:
-An up-to-date Curriculum Vitae
-University transcripts and Proof of Degrees
(e.g. photocopies of certificates)
AND
Have sent:
-Two (2) letters of reference.

*The stipend is subject to the current collective agreement between CUPE and Saint Mary’s University

If you have never taught at Saint Mary’s,
Send:
-An up-to-date Curriculum Vitae
-University transcripts and Proof of Degrees
(e.g. photocopies of certificates)
AND
Have sent:
-Two (2) letters of reference.

*The stipend is subject to the current collective agreement between CUPE and Saint Mary’s University

Applications should be received no later than December 3, 2015

Saint Mary’s University
Department of Mathematics and Computing Science

The course and Lab B are offered as a unit: preference will be given to instructors willing to teach Lab B as well. The successful candidate will be required to hold office hours, and will invigilate and mark midterm and final examinations.

The stipend* for CSCI1226.2 is $4572.00 – $5783.00 (depending on experience at Saint Mary’s). The stipend for this CSCI1226.2 Labs is $2286.00 – $2891.50 (depending on experience at Saint Mary’s).

If you have never taught at Saint Mary’s,
Send:
-An up-to-date Curriculum Vitae
-University transcripts and Proof of Degrees
(e.g. photocopies of certificates)
AND
Have sent:
-Two (2) letters of reference.

*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University

The course and Lab A are offered as a unit: preference will be given to instructors willing to teach Lab A as well. The successful candidate will be required to hold office hours, and will invigilate and mark midterm and final examinations.

The stipend* for CSCI1227.2 is $4572.00 – $5783.00 (depending on experience at Saint Mary’s). The stipend for this CSCI1227.2 Labs is $2286.00 – $2891.50 (depending on experience at Saint Mary’s).

If you have never taught at Saint Mary’s,
Send:
-An up-to-date Curriculum Vitae
-University transcripts and Proof of Degrees
(e.g. photocopies of certificates)
AND
Have sent:
-Two (2) letters of reference.

*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University

If you have never taught at Saint Mary’s,
Send:
-An up-to-date Curriculum Vitae
-University transcripts and Proof of Degrees
(e.g. photocopies of certificates)
AND
Have sent:
-Two (2) letters of reference.

*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University

The course and Rec. A are offered as a unit: preference will be given to instructors willing to teach Rec. A as well. Preference will be given to applicants with a background relevant to Mobile App Development. The successful candidate will be required to hold office hours, and will invigilate and mark midterm and final examinations.

The stipend* for CSCI12356.2 is $4572.00 – $5783.00 (depending on experience at Saint Mary’s). The stipend* for this CSCI2356.2 Labs is $2286.00 – $2891.50 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Computing Science.
Successful experience teaching Computing Science at the
University level, and in the course area.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application to:
Part time positions at ptpositions@cs.smu.ca

If you have never taught at Saint Mary’s,
Send:
-An up-to-date Curriculum Vitae
-University transcripts and Proof of Degrees
(e.g. photocopies of certificates)
AND
Have sent:
-Two (2) letters of reference.

*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University

In addition, experience teaching a similar introductory statistics course
to non-science majors.

In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components is taught by the laboratory instructor. Instructors are
required to follow the course syllabus and guidelines for assignments,
midterm and final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

In addition, experience teaching a similar introductory statistics course
to non-science majors.

In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components is taught by the laboratory instructor. Instructors are
required to follow the course syllabus and guidelines for assignments,
midterm and final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Application deadline: 11/19/2015
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: Lab-Intro to Statistics II
Course Code: MATH 209L LM
Academic Term: Winter
Class Timetable: W 9:00 – 10:15 am
Course Unit Value: 0.125 unit
—————————————————
Start Date: 1/5/2016
End Date: 4/27/2016
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
closely related to Statistics. The candidate must have completed at least
one full unit of coursework in Statistics. In addition, experience
teaching similar introductory statistics labs to non-science majors is
required. Candidates must be sensitive to the needs of the mature learner.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 1/5/2016
End Date: 4/27/2016
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
closely related to Statistics. The candidate must have completed at least
one full unit of coursework in Statistics. In addition, experience
teaching similar introductory statistics labs to non-science majors is
required. Candidates must be sensitive to the needs of the mature learner.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 1/5/2016
End Date: 4/27/2016
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
closely related to Statistics. The candidate must have completed at least
one full unit of coursework in Statistics. In addition, experience
teaching similar introductory statistics labs to non-science majors is
required. Candidates must be sensitive to the needs of the mature learner.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

In addition, experience teaching similar introductory statistics labs to
non-science majors is required.

In addition, experience with using MINITAB for data analysis is required.
Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must be sensitive
to the needs of the mature learner. Synchronous and asynchronous
discussions occur during the week on-line. Due to distance, the mailing of
materials may extend beyond the traditional time frames.

—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Application deadline: 11/19/2015
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: Lab-Intro to Statistics I
Course Code: MATH 208L LD
Academic Term: Fall
Class Timetable: W 12:00 – 1:15 pm
Course Unit Value: 0.125 unit
—————————————————
Start Date: 9/9/2015
End Date: 12/22/2015
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
closely related to Statistics. The candidate must have completed at least
one full unit of coursework in Statistics. In addition, experience
teaching similar introductory statistics labs to non-science majors.
Candidates must be sensitive to the needs of the mature learner.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: Kerri.alsaidi@msvu.ca

If you have never taught at Saint Mary’s,
Send:
-An up-to-date Curriculum Vitae
-University transcripts and Proof of Degrees
(e.g. photocopies of certificates)
AND
Have sent:
-Two (2) letters of reference.

*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University

The Department of Mathematics & Computing Science is seeking to staff the following courses for the Fall semester, 2015:

MATH1202.1RC R 4:00pm – 5:15pm

Preference will be given to instructors with K12 classroom teaching experience.

The course and recitation A are offered as a unit: preference will be given to instructors willing to teach Recitation A as well. The successful candidate will be required to hold office hours, and will invigilate and mark midterm and final examinations.

The stipend* for each MATH1202.1 Recitations are $2286.00 – $2891.50 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Mathematics or Mathematics Education
Successful experience teaching a similar course at the University level.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

If you have never taught at Saint Mary’s,
Send:
-An up-to-date Curriculum Vitae
-University transcripts and Proof of Degrees
(e.g. photocopies of certificates)
AND
Have sent:
-Two (2) letters of reference.

*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University

The course and recitation are offered as a unit: preference will be given to instructors willing to teach both. The successful candidate will be required to hold office hours, and will invigilate and mark pre-tests, midterms and final examinations.

The stipend* for MATH1211.1 is $4572.00 – $5783.00 (depending on experience at Saint Mary’s).The stipend* for each MATH1211.1 Recitation is $2286.00 – $2891.50 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Mathematics or Mathematics Education

Successful experience teaching Calculus or Pre-Calculus at the University level.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

If you have never taught at Saint Mary’s,
Send:
-An up-to-date Curriculum Vitae
-University transcripts and Proof of Degrees
(e.g. photocopies of certificates)
AND
Have sent:
-Two (2) letters of reference.

*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University

The Department of Mathematics & Computing Science is seeking to staff the following courses for the fall semester, 2015:

CSCI3431.1 MW 4:00pm – 5:15pm
CSCI3431.1RA M 5:30pm – 6:45pm

The course and recitation A are offered as a unit: preference will be given to instructors willing to teach Recitation A as well. The successful candidate will be required to hold office hours, and will invigilate and mark midterm and final examinations.

The stipend* for CSCI3431.1 is $4572.00 – $5783.00 (depending on experience at Saint Mary’s). The stipend for this CSCI3431.1 Labs is $2286.00 – $2891.50 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Computing Science.

Successful experience teaching the Operating Systems course at the
University level.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

If you have never taught at Saint Mary’s,
Send:
-An up-to-date Curriculum Vitae
-University transcripts and Proof of Degrees
(e.g. photocopies of certificates)
AND
Have sent:
-Two (2) letters of reference.

The Department of Mathematics & Computing Science is seeking to staff the following courses for the fall semester, 2015:

CSCI3430.1 TR 5:30pm – 6:45pm
CSCI3430.1R T 7:00pm – 8:15pm

The course and recitation A are offered as a unit: preference will be given to instructors willing to teach the Recitation as well. The successful candidate will be required to hold office hours, and will invigilate and mark midterm and final examinations.

The stipend* for CSCI3430.1 is $4572.00 – $5783.00 (depending on experience at Saint Mary’s). The stipend for this CSCI3430.1 Labs is $2286.00 – $2891.50 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Computing Science.

Successful experience teaching the Principles of Programming Languages course at the University level.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

If you have never taught at Saint Mary’s,
Send:
-An up-to-date Curriculum Vitae
-University transcripts and Proof of Degrees
(e.g. photocopies of certificates)
AND
Have sent:
-Two (2) letters of reference.

The course and Lab A are offered as a unit: preference will be given to instructors willing to teach Lab A as well. The successful candidate will be required to hold office hours, and will invigilate and mark midterm and final examinations.

The stipend* for CSCI1226.1 is $4572.00 – $5783.00 (depending on experience at Saint Mary’s). The stipend for this CSCI1226.1 Labs is $2286.00 – $2891.50 (depending on experience at Saint Mary’s).

If you have never taught at Saint Mary’s,
Send:
-An up-to-date Curriculum Vitae
-University transcripts and Proof of Degrees
(e.g. photocopies of certificates)
AND
Have sent:
-Two (2) letters of reference.

The Department of Mathematics & Computing Science is seeking to staff the following courses for the Fall semester, 2015:

MATH2308.1 MW 4:00pm –5:15pm
MATH2308.1R F 11:30am –12:45pm

The course and recitation A are offered as a unit: preference will be given to instructors willing to teach both as well. The successful candidate will be required to hold office hours, and will invigilate and mark midterm and final examinations.

The stipend for MATH2308.1 is $4572.00 – $5783.00, and for MATH2308.1Rec, $2286.00 – $2891.50 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Mathematics or Mathematics Education

Successful experience teaching Numerical Analysis at the University level.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

If you have never taught at Saint Mary’s,
Send:
-An up-to-date Curriculum Vitae
-University transcripts and Proof of Degrees
(e.g. photocopies of certificates)
AND
Have sent:
-Two (2) letters of reference.

The Department of Mathematics & Computing Science is seeking to staff the following courses for the Fall semester, 2015, in DARTMOUTH:

MATH1210.1WA T 4:30pm – 7:49pm
MATH1210.1R T 7:50pm – 9:29pm

The course and recitation are offered as a unit: preference will be given to instructors willing to teach both. The successful candidate will be required to hold office hours, and will invigilate and mark pre-tests, midterms and final examinations.

The stipend* for each MATH1210.1 Recitations are $2286.00 – $2891.50 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Mathematics or Mathematics Education

Successful experience teaching Calculus or Pre-Calculus at the University level.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

If you have never taught at Saint Mary’s,
Send:
-An up-to-date Curriculum Vitae
-University transcripts and Proof of Degrees
(e.g. photocopies of certificates)
AND
Have sent:
-Two (2) letters of reference.

*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University

Preference will be given to instructors with K12 classroom teaching experience.

The course and recitation A are offered as a unit: preference will be given to instructors willing to teach Recitation A as well. The successful candidate will be required to hold office hours, and will invigilate and mark midterm and final examinations.

The stipend* for MATH1202.1 is $4572.00 – $5783.00 (depending on experience at Saint Mary’s). The stipend* for each MATH1202.1 Recitations are $2286.00 – $2891.50 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Mathematics or Mathematics Education
Successful experience teaching a similar course at the University level.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

If you have never taught at Saint Mary’s,
Send:
-An up-to-date Curriculum Vitae
-University transcripts and Proof of Degrees
(e.g. photocopies of certificates)
AND
Have sent:
-Two (2) letters of reference.

*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University

The Department of Mathematics & Computing Science is seeking to staff the following courses for the Fall semester, 2015:

MATH2311.1A TR 8:30am – 9:45am
MATH2311.1B MW 8:30am – 9:45am
MATH2311.1RA F 8:30am – 9:45am
MATH2311.1RB F 10:00am – 11:15am
MATH2311.1RC F 11:30am – 12:45pm
MATH2311.1RD F 10:00am – 11:15am
The course and recitation A are offered as a unit: preference will be given to instructors willing to teach Recitation A as well. The successful candidate will be required to hold office hours, and will invigilate and mark midterm and final examinations.

The stipend* for MATH2311.1 is $4572.00 – $5783.00 (depending on experience at Saint Mary’s). The stipend* for each MATH2311.1 Recitations are $2286.00 – $2891.50 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

PHD required for Lecture, MSc in Math oriented subject for Recitation.
Successful experience teaching Intermediate Calculus at the University level.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

If you have never taught at Saint Mary’s,
Send:
-An up-to-date Curriculum Vitae
-University transcripts and Proof of Degrees
(e.g. photocopies of certificates)
AND
Have sent:
-Two (2) letters of reference.

*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University

Applications should be received no later than August 10, 2015

Mount Saint Vincent University

—————————————————
Department/Faculty: Mathematics
Course Name: Intro to Statistics I
Course Code: MATH*2208*04 (second posting)
Academic Term: Fall
Class Timetable: T, Th 10:30-11:45am
Course Unit Value: 0.5 unit
—————————————————
Start Date: 9/9/2015
End Date: 12/22/2015
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level.

In addition, experience teaching a similar introductory statistics course
to non-science majors.

In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components is taught by the laboratory instructor. Instructors are
required to follow the course syllabus and guidelines for assignments,
midterm and final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: Kerri.Alsaidi@msvu.ca

Application deadline: 7/21/2015
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: Intro to Statistics I
Course Code: MATH*2208*05 (second posting)
Academic Term: Fall
Class Timetable: T, Th 12:00-1:15pm
Course Unit Value: 0.5 unit
—————————————————
Start Date: 9/9/2015
End Date: 12/22/2015
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level.

In addition, experience teaching a similar introductory statistics course
to non-science majors.

In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components is taught by the laboratory instructor. Instructors are
required to follow the course syllabus and guidelines for assignments,
midterm and final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.5 unit
—————————————————
Start Date: 9/9/2015
End Date: 12/22/2015
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level.

In addition, experience teaching a similar introductory statistics course
to non-science majors.

In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components is taught by the laboratory instructor. Instructors are
required to follow the course syllabus and guidelines for assignments,
midterm and final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Application deadline: 7/21/2015
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: Intro to Statistics I
Course Code: MATH*2208*28 (second posting)
Academic Term: Fall
Class Timetable: M 7:30-9:30pm
Course Unit Value: 0.5 unit
—————————————————
Start Date: 9/9/2015
End Date: 12/22/2015
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level.

In addition, experience teaching a similar introductory statistics course
to non-science majors.

In addition, experience with using MINITAB for data analysis is required.
Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
component is taught by the laboratory instructor. Instructors are required
to follow the course syllabus and guidelines for assignments, midterm and
exams, and grades.
Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
Instructors are also expected to proctor midterm and final exams on
campus.

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

In addition, experience teaching a similar introductory statistics course
to non-science majors.

In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components is taught by the laboratory instructor. Instructors are
required to follow the course syllabus and guidelines for assignments,
midterm and final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.5 unit
—————————————————
Start Date: 1/5/2016
End Date: 4/27/2016
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level.

In addition, experience teaching a similar introductory statistics course
to non-science majors.

In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components is taught by the laboratory instructor. Instructors are
required to follow the course syllabus and guidelines for assignments,
midterm and final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: kerri.alsaidi@msvu.ca

Application deadline: 8/5/2015
—————————————————

Part‑Time Academic Posting: Department of Mathematics and Statistics

Posted by Department of Mathematics and Statistics on July 9, 2015 in Job Postings
PART-TIME ACADEMIC POSTING

The topics to be covered in the courses are available from the Chair of the Department. Descriptions are also given in the Undergraduate Calendar for 2015-16 published by the Registrar’s Office, Dalhousie University. The Instructor is responsible for all aspects of teaching, grading and administration of the class and in addition is to be available for three hours per week outside class times for student consultation. The instructor reports to the Chair.

QUALIFICATIONS: The candidate must possess an appropriate Ph.D. or be registered in a Ph.D. program. If a candidate with these qualifications is unavailable, a candidate with an M.Sc. degree in Mathematics or Statistics and with previous teaching experience
may be appointed. Interested candidates should send their resumes to

IF YOU ARE INTERESTED IN ANY OF THE ABOVE POSITIONS, PLEASE REPLY IN WRITING, WITH CURRICULUM VITAE, BY THE APPLICATION DEADLINE.

All offers of employment as a part-time academic are conditional upon sufficient student enrollment in the course and approval by the University.

Dalhousie University is an Employment Equity/Affirmative Action employer. The University encourages application from qualified Aboriginal peoples, people with a disability, racially visible persons and women.

Part‑Time Academic Posting: Department of Mathematics and Statistics

Posted by Department of Mathematics and Statistics on July 8, 2015 in Job Postings
PART-TIME ACADEMIC POSTING

DALHOUSIE UNIVERSITY
Halifax, Nova Scotia, Canada B3H 3J5

POSTING DATE: July 8, 2015

APPLICATION DEADLINE: July 21, 2015

POSITION: Part-Time Academic
Winter Term, 2015/16 Academic Year

DEPARTMENT/LOCATION: Mathematics and Statistics

PAY RATE: As per CUPE Collective Agreement

Course # Term Date

Math 2040.03 Winter Jan 1 – Apr 30 Matrix Theory / Linear Algebra II

WORK ASSIGNMENT:

The topics to be covered in the courses are available from the Chair of the Department. Descriptions are also given in the Undergraduate Calendar for 2015-16 published by the Registrar’s Office, Dalhousie University. The Instructor is responsible for all aspects of teaching, grading and administration of the class and in addition is to be available for three hours per week outside class times for student consultation. The instructor reports to the Chair.

QUALIFICATIONS: The candidate must possess an appropriate Ph.D. or be registered in a Ph.D. program. If a candidate with these qualifications is unavailable, a candidate with an M.Sc. degree in Mathematics or Statistics and with previous teaching experience
may be appointed. Interested candidates should send their resumes to

IF YOU ARE INTERESTED IN ANY OF THE ABOVE POSITIONS, PLEASE REPLY IN WRITING, WITH CURRICULUM VITAE, BY THE APPLICATION DEADLINE.

All offers of employment as a part-time academic are conditional upon sufficient student enrollment in the course and approval by the University.
Dalhousie University is an Employment Equity/Affirmative Action employer. The University encourages application from qualified Aboriginal peoples, people with a disability, racially visible persons and women.

Part‑Time Academic Posting: Department of Mathematics and Statistics

Posted by Department of Mathematics and Statistics on July 2, 2015 in Job Postings
PART-TIME ACADEMIC POSTING

The topics to be covered in the course are available from the Chair of the Department. Descriptions are also given in the Undergraduate Calendar for 2015-16 published by the Registrar’s Office, Dalhousie University. The Instructor is responsible for all aspects of teaching, grading and administration of the class and in addition is to be available for three hours per week outside class times for student consultation. The instructor reports to the Chair.

QUALIFICATIONS: The candidate must possess an appropriate Ph.D. or be registered in a Ph.D. program. If a candidate with these qualifications is unavailable, a candidate with an M.Sc. degree in Mathematics or Statistics and with previous teaching experience may be appointed. Interested candidates should send their resumes to

IF YOU ARE INTERESTED IN THE ABOVE POSITION, PLEASE REPLY IN WRITING, WITH CURRICULUM VITAE, BY THE APPLICATION DEADLINE.

All offers of employment as a part-time academic are conditional upon sufficient student enrollment in the course and approval by the University.
Dalhousie University is an Employment Equity/Affirmative Action employer. The University encourages application from qualified Aboriginal peoples, people with a disability, racially visible persons and women.

Part‑Time Academic Posting: Department of Mathematics and Statistics

Posted by Department of Mathematics and Statistics on June 11, 2015 in Job Postings
PART-TIME ACADEMIC POSTING

The topics to be covered in the courses are available from the
Chair of the Department. Descriptions are also given in the
Undergraduate Calendar for 2014-15 published by the Registrar’s
Office, Dalhousie University. The Instructor is responsible for all
aspects of teaching, grading and administration of the class and in
addition is to be available for three hours per week outside class
times for student consultation. The instructor reports to the Chair.

QUALIFICATIONS: The candidate must possess an appropriate Ph.D.
or be registered in a Ph.D. program. If a candidate with these
qualifications is unavailable, a candidate with an M.Sc. degree in
Mathematics or Statistics and with previous teaching experience
may be appointed. Interested candidates should send their resumes to

IF YOU ARE INTERESTED IN ANY OF THE ABOVE POSITIONS, PLEASE REPLY IN WRITING, WITH CURRICULUM VITAE, BY THE APPLICATION DEADLINE.

All offers of employment as a part-time academic are conditional upon sufficient student enrollment in the course and approval by the University.
Dalhousie University is an Employment Equity/Affirmative Action employer. The University encourages application from qualified Aboriginal peoples, people with a disability, racially visible persons and women.

—————————————————
Department/Faculty: Mathematics
Course Name: Lab – Intro to Statistics II
Course Code: MATH 209L LE
Academic Term: Winter
Class Timetable: W 6:00pm-7:15pm
Course Unit Value: 0.125 unit
—————————————————
Start Date: 1/5/2016
End Date: 4/27/2016
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
closely related to Statistics. The candidate must have completed at least
one full unit of coursework in Statistics. In addition, experience
teaching similar introductory statistics labs to non-science majors is
required. Candidates must be sensitive to the needs of the mature learner.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Ilya Blum, Dept. of Mathematics and Computer Science
Email: kerri.alsaidi@msvu.caApplication deadline: 6/11/2015
——————————————————————————————————
Department/Faculty: Mathematics
Course Name: Lab-Intro to Statistics II
Course Code: MATH 209L LH
Academic Term: Winter
Class Timetable: Th 3:00pm-4:15pmCourse Unit Value: 0.125 unit
—————————————————
Start Date: 1/5/2016
End Date: 4/27/2016
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
closely related to Statistics. The candidate must have completed at least
one full unit of coursework in Statistics. In addition, experience
teaching similar introductory statistics labs to non-science majors is
required. Candidates must be sensitive to the needs of the mature learner.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Ilya Blum, Dept. of Mathematics and Computer Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 1/5/2016
End Date: 4/27/2016
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
closely related to Statistics. The candidate must have completed at least
one full unit of coursework in Statistics. In addition, experience
teaching similar introductory statistics labs to non-science majors is
required. Candidates must be sensitive to the needs of the mature learner.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Ilya Blum, Dept. of Mathematics and Computer Science
Email: kerri.alsaidi@msvu.ca

Application deadline: 6/11/2015
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: Lab- Intro to Statistics I
Course Code: MATH 208D DD
Academic Term: Winter
Class Timetable: W 9:00pm-10:15pm
Course Unit Value: 0.125 unit
—————————————————
Start Date: 1/5/2016
End Date: 4/27/2016
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
closely related to Statistics. The candidate must have completed at least
one full unit of coursework in Statistics.

In addition, experience teaching similar introductory statistics labs to
non-science majors is required.

In addition, experience with using MINITAB for data analysis is required.
Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must be sensitive
to the needs of the mature learner. Synchronous and asynchronous
discussions occur during the week on-line. Due to distance, the mailing of
materials may extend beyond the traditional time frames.

—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Ilya Blum, Dept. of Mathematics and Computer Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.125 unit
—————————————————
Start Date: 1/5/2016
End Date: 4/27/2016
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
closely related to Statistics. The candidate must have completed at least
one full unit of coursework in Statistics.

In addition, experience teaching similar introductory statistics labs to
non-science majors is required.

In addition, experience with using MINITAB for data analysis is required.
Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must be sensitive
to the needs of the mature learner. Synchronous and asynchronous
discussions occur during the week on-line. Due to distance, the mailing of
materials may extend beyond the traditional time frames.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Ilya Blum, Dept. of Mathematics and Computer Science
Email: kerri.alsaidi@msvu.ca

In addition, experience teaching a similar introductory statistics course
to non-science majors.

In addition, experience with using MINITAB for data analysis is required.
Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
component is taught by the laboratory instructor. Instructors are required
to follow the course syllabus and guidelines for assignments, midterm and
exams, and grades.
Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
Instructors are also expected to proctor midterm and final exams on
campus.

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Ilya Blum, Dept. of Mathematics and Computer Science
Email: kerri.alsaidi@msvu.ca

Academic Term: Winter
Class Timetable: T 7:00pm-9:00pm
Course Unit Value: 0.5 unit
—————————————————
Start Date: 1/5/2016
End Date: 4/27/2016
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level.

In addition, experience teaching a similar introductory statistics course
to non-science majors.

In addition, experience with using MINITAB for data analysis is required.
Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
component is taught by the laboratory instructor. Instructors are required
to follow the course syllabus and guidelines for assignments, midterm and
exams, and grades.
Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
Instructors are also expected to proctor midterm and final exams on
campus.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Ilya Blum, Dept. of Mathematics and Computer Science
Email: kerri.alsaidi@msvu.ca

In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components is taught by the laboratory instructor. Instructors are
required to follow the course syllabus and guidelines for assignments,
midterm and final exams, and grades.

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Ilya Blum, Dept. of Mathematics and Computer Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.5 unit
—————————————————
Start Date: 1/5/2016
End Date: 4/27/2016
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level.

In addition, experience teaching a similar introductory statistics course
to non-science majors.

In addition, experience with using MINITAB for data analysis is required.

—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components is taught by the laboratory instructor. Instructors are
required to follow the course syllabus and guidelines for assignments,
midterm and final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Ilya Blum, Dept. of Mathematics and Computer Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.5 unit
—————————————————
Start Date: 1/5/2016
End Date: 4/27/2016
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level.

In addition, experience teaching a similar introductory statistics course
to non-science majors.
In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components is taught by the laboratory instructor. Instructors are
required to follow the course syllabus and guidelines for assignments,
midterm and final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Ilya Blum, Dept. of Mathematics and Computer Science
Email: kerri.alsaidi@msvu.ca

Course Unit Value: 0.5 unit
—————————————————
Start Date: 1/5/2016
End Date: 4/27/2016
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level.

In addition, experience teaching a similar introductory statistics course
to non-science majors.

In addition, experience with using MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components is taught by the laboratory instructor. Instructors are
required to follow the course syllabus and guidelines for assignments,
midterm and final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Ilya Blum, Dept. of Mathematics and Computer Science
Email: kerri.alsaidi@msvu.ca

Application deadline: 6/10/2015
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: Intro to Statistics I
Course Code: MATH 2208 29
Academic Term: Winter
Class Timetable: M 6:00pm-8:00pm
Course Unit Value: 0.5 unit
—————————————————
Start Date: 1/5/2016
End Date: 4/27/2016
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in Statistics at the graduate level.

In addition, experience teaching a similar introductory statistics course
to non-science majors.

In addition, experience with using MINITAB for data analysis is required.
Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
component is taught by the laboratory instructor. Instructors are required
to follow the course syllabus and guidelines for assignments, midterm and
exams, and grades.
Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course
Instructors are also expected to proctor midterm and final exams on
campus.

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Ilya Blum, Dept. of Mathematics and Computer Science
Email: kerri.alsaidi@msvu.ca

Application deadline: 6/10/2015
—————————————————

—————————————————
Department/Faculty: Education
Course Name: Science in the Elementary and Middle School Curriculum:
Theory and Practrice I
Course Code: GEMS 6471 01
Academic Term: Fall
Class Timetable: S 09:00 AM – 04:00 PM
Course Unit Value: 0.5
—————————————————
Start Date: 9/9/2015
End Date: 12/7/2015
—————————————————
Qualifications:
Candidates must have a PhD or be near completion of a doctorate in one of
the disciplines of science, science education, or a related field.

Additional Qualifications
Candidates must have experience in curriculum and pedagogy of Science in
the elementary and middle school
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Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:

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Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
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How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Allan Neilsen, Director, Graduate Education
Email: edptappl@msvu.ca